Register event
Subscribe to Filter
Importing into Google Calendar
In the left-hand column of the Google Calendar main view, click the arrow to the right of "Other calendars" and click "Add by URL". In the form that appears, paste in the URL from the box above, and click the button to confirm.
Please note, it may take a while for newly created events in DReSA to synchronise with your Google Calendar.
96 events found
Content provider: Intersect Australia
- ← Previous
- 1
- 2
- 3
- 4
- Next →
-
Learn to Program: R at DU Online
1 - 2 October 2024
Learn to Program: R at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-du-online R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-10-01 09:30:00 UTC 2024-10-02 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UOA Online
3 - 4 October 2024
Learn to Program: R at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-uoa-online-b6cc205e-18ed-4115-a9b4-d27576c03bd9 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-10-03 09:30:00 UTC 2024-10-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at Deakin Online
8 - 9 October 2024
Data Manipulation and Visualisation in Python at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-deakin-online-97556122-6c23-40fa-81ff-baaf3d0eba0b Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-10-08 09:30:00 UTC 2024-10-09 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at DU Online
8 - 9 October 2024
Data Manipulation and Visualisation in Python at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-du-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Working with pandas DataFrames Indexing, slicing and subsetting in pandas DataFrames Missing data values Combine multiple pandas DataFrames Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn #### Prerequisites: Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2024-10-08 09:30:00 UTC 2024-10-09 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UOA Online
8 - 9 October 2024
Excel for Researchers at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uoa-online-b762c034-4f8a-4d29-b927-7b261c1b682e Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-10-08 13:30:00 UTC 2024-10-09 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Longitudinal Trials with REDCap at La Trobe Online
10 October 2024
Longitudinal Trials with REDCap at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-la-trobe-online-bc91834e-8ce0-4ac2-adfb-9eda53a54df4 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2024-10-10 10:00:00 UTC 2024-10-10 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Longitudinal Trials with REDCap at LTU Online
10 October 2024
Longitudinal Trials with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-4e02c817-66dc-4b8e-b242-e3d1563fd69d REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. #### You'll learn: Build a longitudinal project Manage participants throughout multiple events Configure and use Automated Survey Invitations Use Smart Variables to add powerful features to your logic Take advantage of high-granularity permissions for your collaborators Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \Data Capture and Surveys with REDCap\ workshop. For more information, please click [here](https://intersect.org.au/training/course/redcap201). 2024-10-10 10:00:00 UTC 2024-10-10 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at Deakin Online
15 - 16 October 2024
Data Manipulation and Visualisation in R at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-deakin-online-666e0c7f-2b72-40dd-bd5a-4b2b03ac03a7 R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UNE Online
15 - 16 October 2024
Learn to Program: R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-une-online-c977d3ab-71f9-42f0-8ec4-65cbe6d6f93c R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at ACU
15 - 16 October 2024
Learn to Program: Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-acu-2c9cb7cd-9af0-4370-a982-11389c5382fb Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at DU Online
15 - 16 October 2024
Data Manipulation and Visualisation in R at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-du-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: DataFrame Manipulation using the dplyr package DataFrame Transformation using the tidyr package Using the Grammar of Graphics to convert data into figures using the ggplot2 package Configuring plot elements within ggplot2 Exploring different types of plots using ggplot2 #### Prerequisites: Either \Learn to Program: R\ or \Learn to Program: R\ and \R for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: R\ and \R for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UNSW Online
15 - 16 October 2024
Excel for Researchers at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-unsw-online-75432728-69c9-41d8-a91c-82c6dfbd7bb5 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Unix Shell and Command Line Basics at DCCEEW Online
15 October 2024
Unix Shell and Command Line Basics at DCCEEW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/unix-shell-and-command-line-basics-at-dcceew-online The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you’ll learn at this course are generally transferable to other Unix environments. #### You'll learn: Navigate and work with files and directories (folders) Use a selection of essential tools Combine data and tools to build a processing workflow Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/unix101). 2024-10-15 09:30:00 UTC 2024-10-15 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at ACU
16 October 2024
Learn to Program: Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-acu-e2564e2a-5493-4643-a9af-bcef2f5a92a6 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-10-16 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at La Trobe Online
16 - 17 October 2024
Excel for Researchers at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-la-trobe-online-9f5e5f27-d3a9-4844-9a6b-27d4597f7207 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-10-16 10:00:00 UTC 2024-10-17 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at LTU Online
16 - 17 October 2024
Excel for Researchers at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-ltu-online-d3456532-659f-4142-b551-a111dd3d0957 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-10-16 10:00:00 UTC 2024-10-17 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UniSA Online
16 October 2024
Learn to Program: Python at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-unisa-online-788ada3b-4861-4359-979b-4f33d3542ba6 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-10-16 13:00:00 UTC 2024-10-16 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UniSA (online)
16 - 17 October 2024
Learn to Program: Python at UniSA (online) https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-unisa-online-da85eaaa-f59d-44e8-83a2-7de0c791ffed Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-10-16 13:00:00 UTC 2024-10-17 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UOA Online
17 - 18 October 2024
Learn to Program: Python at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-uoa-online-7e6290dd-f4ab-4db1-a536-20035a2d9070 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-10-17 09:30:00 UTC 2024-10-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Research Data Management at WSU Online
18 October 2024
Introduction to Research Data Management at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2024-10-18 10:00:00 UTC 2024-10-18 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with HPC using PBS Pro at Deakin Online
22 - 23 October 2024
Getting started with HPC using PBS Pro at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-deakin-online-44febc28-cc61-47f8-89ca-1d0c96ba951a Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: - Connect to an HPC cluster - Use the Unix command line to operate a remote computer and create job scripts - Submit and manage jobs on a cluster using a scheduler - Transfer files to and from a remote computer - Use software through environment modules - Use parallelisation to speed up data analysis - Access the facilities available to you as a researcher - This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our [Unix Shell and Command Line Basics](https://intersect.org.au/training/course/unix101/) course. **For more information, please click [here](https://intersect.org.au/training/course/hpc201).** 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at ACU
22 - 23 October 2024
Data Manipulation and Visualisation in Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-acu-baf212b7-c3bd-4be0-9a3a-22ea1934bc5f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Working with pandas DataFrames Indexing, slicing and subsetting in pandas DataFrames Missing data values Combine multiple pandas DataFrames Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn #### Prerequisites: Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with HPC using PBS Pro at DU Online
22 - 23 October 2024
Getting started with HPC using PBS Pro at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-du-online Is your computer’s limited power throttling your research ambitions? Are your analysis scripts pushing your laptop’s processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: Connect to an HPC cluster Use the Unix command line to operate a remote computer and create job scripts Submit and manage jobs on a cluster using a scheduler Transfer files to and from a remote computer Use software through environment modules Use parallelisation to speed up data analysis Access the facilities available to you as a researcher This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our \Unix Shell and Command Line Basics\ course. For more information, please click [here](https://intersect.org.au/training/course/hpc201). 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at UNE Online
22 - 23 October 2024
Data Manipulation and Visualisation in R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-une-online-c6f0eb90-52b9-4650-8db8-66c278fcb5ee R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: DataFrame Manipulation using the dplyr package DataFrame Transformation using the tidyr package Using the Grammar of Graphics to convert data into figures using the ggplot2 package Configuring plot elements within ggplot2 Exploring different types of plots using ggplot2 #### Prerequisites: Either \Learn to Program: R\ or \Learn to Program: R\ and \R for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: R\ and \R for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at ACU
23 October 2024
Data Manipulation and Visualisation in Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-acu-d92dcc9e-e7e8-48c1-a444-10e22c4ce02c Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-10-23 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution [] -
Beyond Basics: Conditionals and Visualisation in Excel at UOA Online
23 October 2024
Beyond Basics: Conditionals and Visualisation in Excel at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-uoa-online-9d5e5939-f12d-4062-8592-f0bdb5075fe7 After cleaning your database, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project. #### You'll learn: - Cell syntax and conditional formatting - IF functions - Pivot Table summaries - Nesting multiple AND/IF/OR calculations - Combining nested calculations with conditional formatting to bring out important elements of the dataset - MINIFS function - Box plot creation and outlier identification - Trendline and error bar chart enhancements #### Prerequisites: Familiarity with the content of Excel for Researchers, specifically: - the general Office/Excel interface (menus, ribbons/toolbars, etc.) - workbooks and worksheets - absolute and relative references, e.g. $A$1, A1. - simple ranges, e.g. A1:B5 For more information, please click [here](https://intersect.org.au/training/course/excel201). 2024-10-23 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA Online
23 - 24 October 2024
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unisa-online-283b14fc-5891-4cbc-8119-9fe5c73cf7c6 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Understand the difference between supervised and unsupervised Machine Learning. - Understand the fundamentals of Machine Learning. - Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python205).** 2024-10-23 13:00:00 UTC 2024-10-24 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA (online)
23 - 24 October 2024
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA (online) https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unisa-online-649fe125-ab06-4a6a-a5c5-2933a3268ad2 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either \Learn to Program: Python\ and \Data Manipulation in Python\ or \Learn to Program: Python\ and \Data Manipulation and Visualisation in Python\ needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2024-10-23 13:00:00 UTC 2024-10-24 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Exploring Chi-square and correlation in R at UOA Online
25 October 2024
Exploring Chi-square and correlation in R at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/exploring-chi-square-and-correlation-in-r-at-uoa-online-decfcfcd-58f1-442a-b0f2-55b298604047 This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson’s r, Spearman’s Rho and Kendall’s tau) in real world datasets. #### You'll learn: Obtain inferential statistics and assess data normality Manipulate data and create graphs Perform Chi-Square tests (Goodness of Fit test and Test of Independence) Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package). Please consider attending Intersect’s following courses to get up to speed: \Learn to Program: R\, \Data Manipulation and Visualisation in R\ For more information, please click [here](https://intersect.org.au/training/course/r210). 2024-10-25 09:30:00 UTC 2024-10-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using R: Introduction & Linear Regression at UNE Online
29 - 30 October 2024
Introduction to Machine Learning using R: Introduction & Linear Regression at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-r-introduction-linear-regression-at-une-online Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use R and and its relevant packages to process real datasets, train and apply Machine Learning models #### Prerequisites: \\Either \Learn to Program: R\ and \Data Manipulation in R\ or \Learn to Program: R\ and \Data Manipulation and Visualisation in R\needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts and familiarity with dplyr, tidyr and ggplot2 packages.\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\ For more information, please click [here](https://intersect.org.au/training/course/r205). 2024-10-29 09:30:00 UTC 2024-10-30 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []
- ← Previous
- 1
- 2
- 3
- 4
- Next →
- ← Previous
- 1
- 2
- 3
- 4
- Next →
-
Learn to Program: R at DU Online
1 - 2 October 2024
Learn to Program: R at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-du-online R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-10-01 09:30:00 UTC 2024-10-02 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UOA Online
3 - 4 October 2024
Learn to Program: R at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-uoa-online-b6cc205e-18ed-4115-a9b4-d27576c03bd9 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-10-03 09:30:00 UTC 2024-10-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at Deakin Online
8 - 9 October 2024
Data Manipulation and Visualisation in Python at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-deakin-online-97556122-6c23-40fa-81ff-baaf3d0eba0b Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-10-08 09:30:00 UTC 2024-10-09 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at DU Online
8 - 9 October 2024
Data Manipulation and Visualisation in Python at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-du-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Working with pandas DataFrames Indexing, slicing and subsetting in pandas DataFrames Missing data values Combine multiple pandas DataFrames Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn #### Prerequisites: Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2024-10-08 09:30:00 UTC 2024-10-09 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UOA Online
8 - 9 October 2024
Excel for Researchers at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uoa-online-b762c034-4f8a-4d29-b927-7b261c1b682e Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-10-08 13:30:00 UTC 2024-10-09 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Longitudinal Trials with REDCap at La Trobe Online
10 October 2024
Longitudinal Trials with REDCap at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-la-trobe-online-bc91834e-8ce0-4ac2-adfb-9eda53a54df4 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2024-10-10 10:00:00 UTC 2024-10-10 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Longitudinal Trials with REDCap at LTU Online
10 October 2024
Longitudinal Trials with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-4e02c817-66dc-4b8e-b242-e3d1563fd69d REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. #### You'll learn: Build a longitudinal project Manage participants throughout multiple events Configure and use Automated Survey Invitations Use Smart Variables to add powerful features to your logic Take advantage of high-granularity permissions for your collaborators Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \Data Capture and Surveys with REDCap\ workshop. For more information, please click [here](https://intersect.org.au/training/course/redcap201). 2024-10-10 10:00:00 UTC 2024-10-10 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at Deakin Online
15 - 16 October 2024
Data Manipulation and Visualisation in R at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-deakin-online-666e0c7f-2b72-40dd-bd5a-4b2b03ac03a7 R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UNE Online
15 - 16 October 2024
Learn to Program: R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-une-online-c977d3ab-71f9-42f0-8ec4-65cbe6d6f93c R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at ACU
15 - 16 October 2024
Learn to Program: Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-acu-2c9cb7cd-9af0-4370-a982-11389c5382fb Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at DU Online
15 - 16 October 2024
Data Manipulation and Visualisation in R at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-du-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: DataFrame Manipulation using the dplyr package DataFrame Transformation using the tidyr package Using the Grammar of Graphics to convert data into figures using the ggplot2 package Configuring plot elements within ggplot2 Exploring different types of plots using ggplot2 #### Prerequisites: Either \Learn to Program: R\ or \Learn to Program: R\ and \R for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: R\ and \R for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UNSW Online
15 - 16 October 2024
Excel for Researchers at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-unsw-online-75432728-69c9-41d8-a91c-82c6dfbd7bb5 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-10-15 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Unix Shell and Command Line Basics at DCCEEW Online
15 October 2024
Unix Shell and Command Line Basics at DCCEEW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/unix-shell-and-command-line-basics-at-dcceew-online The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you’ll learn at this course are generally transferable to other Unix environments. #### You'll learn: Navigate and work with files and directories (folders) Use a selection of essential tools Combine data and tools to build a processing workflow Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/unix101). 2024-10-15 09:30:00 UTC 2024-10-15 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at ACU
16 October 2024
Learn to Program: Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-acu-e2564e2a-5493-4643-a9af-bcef2f5a92a6 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-10-16 09:30:00 UTC 2024-10-16 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at La Trobe Online
16 - 17 October 2024
Excel for Researchers at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-la-trobe-online-9f5e5f27-d3a9-4844-9a6b-27d4597f7207 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-10-16 10:00:00 UTC 2024-10-17 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at LTU Online
16 - 17 October 2024
Excel for Researchers at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-ltu-online-d3456532-659f-4142-b551-a111dd3d0957 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-10-16 10:00:00 UTC 2024-10-17 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UniSA Online
16 October 2024
Learn to Program: Python at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-unisa-online-788ada3b-4861-4359-979b-4f33d3542ba6 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-10-16 13:00:00 UTC 2024-10-16 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UniSA (online)
16 - 17 October 2024
Learn to Program: Python at UniSA (online) https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-unisa-online-da85eaaa-f59d-44e8-83a2-7de0c791ffed Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-10-16 13:00:00 UTC 2024-10-17 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UOA Online
17 - 18 October 2024
Learn to Program: Python at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-uoa-online-7e6290dd-f4ab-4db1-a536-20035a2d9070 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-10-17 09:30:00 UTC 2024-10-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Research Data Management at WSU Online
18 October 2024
Introduction to Research Data Management at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2024-10-18 10:00:00 UTC 2024-10-18 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with HPC using PBS Pro at Deakin Online
22 - 23 October 2024
Getting started with HPC using PBS Pro at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-deakin-online-44febc28-cc61-47f8-89ca-1d0c96ba951a Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: - Connect to an HPC cluster - Use the Unix command line to operate a remote computer and create job scripts - Submit and manage jobs on a cluster using a scheduler - Transfer files to and from a remote computer - Use software through environment modules - Use parallelisation to speed up data analysis - Access the facilities available to you as a researcher - This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our [Unix Shell and Command Line Basics](https://intersect.org.au/training/course/unix101/) course. **For more information, please click [here](https://intersect.org.au/training/course/hpc201).** 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at ACU
22 - 23 October 2024
Data Manipulation and Visualisation in Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-acu-baf212b7-c3bd-4be0-9a3a-22ea1934bc5f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Working with pandas DataFrames Indexing, slicing and subsetting in pandas DataFrames Missing data values Combine multiple pandas DataFrames Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn #### Prerequisites: Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with HPC using PBS Pro at DU Online
22 - 23 October 2024
Getting started with HPC using PBS Pro at DU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-du-online Is your computer’s limited power throttling your research ambitions? Are your analysis scripts pushing your laptop’s processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: Connect to an HPC cluster Use the Unix command line to operate a remote computer and create job scripts Submit and manage jobs on a cluster using a scheduler Transfer files to and from a remote computer Use software through environment modules Use parallelisation to speed up data analysis Access the facilities available to you as a researcher This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our \Unix Shell and Command Line Basics\ course. For more information, please click [here](https://intersect.org.au/training/course/hpc201). 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at UNE Online
22 - 23 October 2024
Data Manipulation and Visualisation in R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-une-online-c6f0eb90-52b9-4650-8db8-66c278fcb5ee R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: DataFrame Manipulation using the dplyr package DataFrame Transformation using the tidyr package Using the Grammar of Graphics to convert data into figures using the ggplot2 package Configuring plot elements within ggplot2 Exploring different types of plots using ggplot2 #### Prerequisites: Either \Learn to Program: R\ or \Learn to Program: R\ and \R for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: R\ and \R for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2024-10-22 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at ACU
23 October 2024
Data Manipulation and Visualisation in Python at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-acu-d92dcc9e-e7e8-48c1-a444-10e22c4ce02c Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-10-23 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution [] -
Beyond Basics: Conditionals and Visualisation in Excel at UOA Online
23 October 2024
Beyond Basics: Conditionals and Visualisation in Excel at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-uoa-online-9d5e5939-f12d-4062-8592-f0bdb5075fe7 After cleaning your database, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project. #### You'll learn: - Cell syntax and conditional formatting - IF functions - Pivot Table summaries - Nesting multiple AND/IF/OR calculations - Combining nested calculations with conditional formatting to bring out important elements of the dataset - MINIFS function - Box plot creation and outlier identification - Trendline and error bar chart enhancements #### Prerequisites: Familiarity with the content of Excel for Researchers, specifically: - the general Office/Excel interface (menus, ribbons/toolbars, etc.) - workbooks and worksheets - absolute and relative references, e.g. $A$1, A1. - simple ranges, e.g. A1:B5 For more information, please click [here](https://intersect.org.au/training/course/excel201). 2024-10-23 09:30:00 UTC 2024-10-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA Online
23 - 24 October 2024
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unisa-online-283b14fc-5891-4cbc-8119-9fe5c73cf7c6 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Understand the difference between supervised and unsupervised Machine Learning. - Understand the fundamentals of Machine Learning. - Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python205).** 2024-10-23 13:00:00 UTC 2024-10-24 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA (online)
23 - 24 October 2024
Introduction to Machine Learning using Python: Introduction & Linear Regression at UniSA (online) https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unisa-online-649fe125-ab06-4a6a-a5c5-2933a3268ad2 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either \Learn to Program: Python\ and \Data Manipulation in Python\ or \Learn to Program: Python\ and \Data Manipulation and Visualisation in Python\ needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2024-10-23 13:00:00 UTC 2024-10-24 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Exploring Chi-square and correlation in R at UOA Online
25 October 2024
Exploring Chi-square and correlation in R at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/exploring-chi-square-and-correlation-in-r-at-uoa-online-decfcfcd-58f1-442a-b0f2-55b298604047 This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson’s r, Spearman’s Rho and Kendall’s tau) in real world datasets. #### You'll learn: Obtain inferential statistics and assess data normality Manipulate data and create graphs Perform Chi-Square tests (Goodness of Fit test and Test of Independence) Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package). Please consider attending Intersect’s following courses to get up to speed: \Learn to Program: R\, \Data Manipulation and Visualisation in R\ For more information, please click [here](https://intersect.org.au/training/course/r210). 2024-10-25 09:30:00 UTC 2024-10-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using R: Introduction & Linear Regression at UNE Online
29 - 30 October 2024
Introduction to Machine Learning using R: Introduction & Linear Regression at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-r-introduction-linear-regression-at-une-online Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use R and and its relevant packages to process real datasets, train and apply Machine Learning models #### Prerequisites: \\Either \Learn to Program: R\ and \Data Manipulation in R\ or \Learn to Program: R\ and \Data Manipulation and Visualisation in R\needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts and familiarity with dplyr, tidyr and ggplot2 packages.\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\ For more information, please click [here](https://intersect.org.au/training/course/r205). 2024-10-29 09:30:00 UTC 2024-10-30 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []
- ← Previous
- 1
- 2
- 3
- 4
- Next →
Note, this map only displays events that have geolocation information in
DReSA.
For the complete list of events in DReSA, click the grid tab.