Register event
254 event found

Content provider: NCI  or Intersect Australia 

  • Data Manipulation and Visualisation in Python

    22 - 23 February 2022

    Data Manipulation and Visualisation in Python https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-23bcb35f-f4a3-4b77-985b-2d815dbc2e08 Live coding workshop introducing data manipulation and visualisation using Python 2022-02-22 13:30:00 UTC 2022-02-23 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Getting started with HPC using PBS Pro

    28 February - 1 March 2022

    Getting started with HPC using PBS Pro https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro A hands-on introduction to running software on HPC infrastructure using PBS Pro 2022-02-28 13:30:00 UTC 2022-03-01 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    3 - 4 March 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-137f9fb2-f033-4234-939d-990e92d1cee2 A live coding workshop explains the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. 2022-03-03 13:30:00 UTC 2022-03-04 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Gadi

    3 March 2022

    Introduction to Gadi https://dresa.org.au/events/introduction-to-gadi Introduction to Gadi is designed for new users, or users that want a refresher on the basics of Gadi. 2022-03-03 14:00:00 UTC 2022-03-03 15:30:00 UTC NCI NCI training.nci@anu.edu.au [] [] [] open_to_all []
  • Data Manipulation and Visualisation in R

    7 - 8 March 2022

    Data Manipulation and Visualisation in R https://dresa.org.au/events/data-manipulation-and-visualisation-in-r Live coding workshop introducing data manipulation and visualisation using R 2022-03-07 13:30:00 UTC 2022-03-08 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Capture and Surveys with REDCap at ACU Online

    8 March 2022

    Data Capture and Surveys with REDCap at ACU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-acu-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-08 10:00:00 UTC 2022-03-08 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at Deakin Online

    9 March 2022

    Data Visualisation in R at Deakin Online https://dresa.org.au/events/data-visualisation-in-r-at-deakin-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 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: - 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. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-09 09:30:00 UTC 2022-03-09 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at ACU Online

    9 March 2022

    Longitudinal Trials with REDCap at ACU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-acu-online 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 course REDCAP101: Data Capture and Surveys with REDCap. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-03-09 10:00:00 UTC 2022-03-09 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation in R at UNSW Online

    9 March 2022

    Data Manipulation in R at UNSW Online https://dresa.org.au/events/data-manipulation-in-r-at-unsw-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). 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 #### 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/r201).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UC Online

    9 - 10 March 2022

    Excel for Researchers at UC Online https://dresa.org.au/events/excel-for-researchers-at-uc-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-09 13:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Unix Shell and Command Line Basics at UOA Online

    9 March 2022

    Unix Shell and Command Line Basics at UOA Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-uoa-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).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at UNSW Online

    10 March 2022

    Data Visualisation in R at UNSW Online https://dresa.org.au/events/data-visualisation-in-r-at-unsw-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 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: - 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. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-10 09:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at Deakin Online

    10 - 11 March 2022

    Learn to Program: R at Deakin Online https://dresa.org.au/events/learn-to-program-r-at-deakin-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).** 2022-03-10 09:30:00 UTC 2022-03-11 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: Classification

    10 - 11 March 2022

    Introduction to Machine Learning using Python: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification Live coding workshop introducing the Classification models in ML using Python 2022-03-10 13:30:00 UTC 2022-03-11 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Capture and Surveys with REDCap at Western Sydney: Online

    11 March 2022

    Data Capture and Surveys with REDCap at Western Sydney: Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-western-sydney-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-11 09:30:00 UTC 2022-03-11 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Getting started with HPC using Slurm at UOA Online

    15 - 16 March 2022

    Getting started with HPC using Slurm at UOA Online https://dresa.org.au/events/getting-started-with-hpc-using-slurm-at-uoa-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 Slurm. #### 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 Slurm 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/hpc202).** 2022-03-15 09:30:00 UTC 2022-03-16 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at Deakin Online

    15 March 2022

    Data Capture and Surveys with REDCap at Deakin Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-deakin-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-15 10:00:00 UTC 2022-03-15 14:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UNSW Online

    16 March 2022

    Getting started with NVivo for Windows at UNSW Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-unsw-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-16 13:30:00 UTC 2022-03-16 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UTS Online

    17 - 18 March 2022

    Learn to Program: Python at UTS Online https://dresa.org.au/events/learn-to-program-python-at-uts-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. 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 anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2022-03-17 13:00:00 UTC 2022-03-18 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at LTU Online

    17 - 18 March 2022

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-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).** 2022-03-17 13:00:00 UTC 2022-03-18 12:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    18 March 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-03-18 13:30:00 UTC 2022-03-18 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Excel for Researchers at UTS Online

    21 - 22 March 2022

    Excel for Researchers at UTS Online https://dresa.org.au/events/excel-for-researchers-at-uts-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-21 13:00:00 UTC 2022-03-22 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UC Online

    21 - 22 March 2022

    Learn to Program: R at UC Online https://dresa.org.au/events/learn-to-program-r-at-uc-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).** 2022-03-21 13:30:00 UTC 2022-03-22 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at LTU Online

    23 March 2022

    Getting started with NVivo for Windows at LTU Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-ltu-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-23 10:00:00 UTC 2022-03-23 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UNSW Online

    23 - 24 March 2022

    Excel for Researchers at UNSW Online https://dresa.org.au/events/excel-for-researchers-at-unsw-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-23 13:30:00 UTC 2022-03-24 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at Deakin Online

    24 - 25 March 2022

    Learn to Program: Python at Deakin Online https://dresa.org.au/events/learn-to-program-python-at-deakin-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. 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 anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2022-03-24 10:00:00 UTC 2022-03-25 14:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UniSA Online

    24 - 25 March 2022

    Excel for Researchers at UniSA Online https://dresa.org.au/events/excel-for-researchers-at-unisa-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-24 13:30:00 UTC 2022-03-25 16:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at Western Sydney: Online

    25 March 2022

    Getting started with NVivo for Windows at Western Sydney: Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-western-sydney-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-25 09:30:00 UTC 2022-03-25 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UC Online

    28 - 29 March 2022

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-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. 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 anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2022-03-28 13:30:00 UTC 2022-03-29 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Unix Shell and Command Line Basics at UNSW Online

    29 March 2022

    Unix Shell and Command Line Basics at UNSW Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-unsw-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).** 2022-03-29 09:30:00 UTC 2022-03-29 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation and Visualisation in Python

    22 - 23 February 2022

    Data Manipulation and Visualisation in Python https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-23bcb35f-f4a3-4b77-985b-2d815dbc2e08 Live coding workshop introducing data manipulation and visualisation using Python 2022-02-22 13:30:00 UTC 2022-02-23 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Getting started with HPC using PBS Pro

    28 February - 1 March 2022

    Getting started with HPC using PBS Pro https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro A hands-on introduction to running software on HPC infrastructure using PBS Pro 2022-02-28 13:30:00 UTC 2022-03-01 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    3 - 4 March 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-137f9fb2-f033-4234-939d-990e92d1cee2 A live coding workshop explains the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. 2022-03-03 13:30:00 UTC 2022-03-04 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Gadi

    3 March 2022

    Introduction to Gadi https://dresa.org.au/events/introduction-to-gadi Introduction to Gadi is designed for new users, or users that want a refresher on the basics of Gadi. 2022-03-03 14:00:00 UTC 2022-03-03 15:30:00 UTC NCI NCI training.nci@anu.edu.au [] [] [] open_to_all []
  • Data Manipulation and Visualisation in R

    7 - 8 March 2022

    Data Manipulation and Visualisation in R https://dresa.org.au/events/data-manipulation-and-visualisation-in-r Live coding workshop introducing data manipulation and visualisation using R 2022-03-07 13:30:00 UTC 2022-03-08 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Capture and Surveys with REDCap at ACU Online

    8 March 2022

    Data Capture and Surveys with REDCap at ACU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-acu-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-08 10:00:00 UTC 2022-03-08 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at Deakin Online

    9 March 2022

    Data Visualisation in R at Deakin Online https://dresa.org.au/events/data-visualisation-in-r-at-deakin-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 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: - 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. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-09 09:30:00 UTC 2022-03-09 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at ACU Online

    9 March 2022

    Longitudinal Trials with REDCap at ACU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-acu-online 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 course REDCAP101: Data Capture and Surveys with REDCap. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-03-09 10:00:00 UTC 2022-03-09 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation in R at UNSW Online

    9 March 2022

    Data Manipulation in R at UNSW Online https://dresa.org.au/events/data-manipulation-in-r-at-unsw-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). 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 #### 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/r201).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UC Online

    9 - 10 March 2022

    Excel for Researchers at UC Online https://dresa.org.au/events/excel-for-researchers-at-uc-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-09 13:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Unix Shell and Command Line Basics at UOA Online

    9 March 2022

    Unix Shell and Command Line Basics at UOA Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-uoa-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).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at UNSW Online

    10 March 2022

    Data Visualisation in R at UNSW Online https://dresa.org.au/events/data-visualisation-in-r-at-unsw-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 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: - 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. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-10 09:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at Deakin Online

    10 - 11 March 2022

    Learn to Program: R at Deakin Online https://dresa.org.au/events/learn-to-program-r-at-deakin-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).** 2022-03-10 09:30:00 UTC 2022-03-11 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: Classification

    10 - 11 March 2022

    Introduction to Machine Learning using Python: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification Live coding workshop introducing the Classification models in ML using Python 2022-03-10 13:30:00 UTC 2022-03-11 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Capture and Surveys with REDCap at Western Sydney: Online

    11 March 2022

    Data Capture and Surveys with REDCap at Western Sydney: Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-western-sydney-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-11 09:30:00 UTC 2022-03-11 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Getting started with HPC using Slurm at UOA Online

    15 - 16 March 2022

    Getting started with HPC using Slurm at UOA Online https://dresa.org.au/events/getting-started-with-hpc-using-slurm-at-uoa-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 Slurm. #### 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 Slurm 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/hpc202).** 2022-03-15 09:30:00 UTC 2022-03-16 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at Deakin Online

    15 March 2022

    Data Capture and Surveys with REDCap at Deakin Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-deakin-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-15 10:00:00 UTC 2022-03-15 14:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UNSW Online

    16 March 2022

    Getting started with NVivo for Windows at UNSW Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-unsw-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-16 13:30:00 UTC 2022-03-16 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UTS Online

    17 - 18 March 2022

    Learn to Program: Python at UTS Online https://dresa.org.au/events/learn-to-program-python-at-uts-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. 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 anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2022-03-17 13:00:00 UTC 2022-03-18 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at LTU Online

    17 - 18 March 2022

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-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).** 2022-03-17 13:00:00 UTC 2022-03-18 12:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    18 March 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-03-18 13:30:00 UTC 2022-03-18 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Excel for Researchers at UTS Online

    21 - 22 March 2022

    Excel for Researchers at UTS Online https://dresa.org.au/events/excel-for-researchers-at-uts-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-21 13:00:00 UTC 2022-03-22 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UC Online

    21 - 22 March 2022

    Learn to Program: R at UC Online https://dresa.org.au/events/learn-to-program-r-at-uc-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).** 2022-03-21 13:30:00 UTC 2022-03-22 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at LTU Online

    23 March 2022

    Getting started with NVivo for Windows at LTU Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-ltu-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-23 10:00:00 UTC 2022-03-23 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UNSW Online

    23 - 24 March 2022

    Excel for Researchers at UNSW Online https://dresa.org.au/events/excel-for-researchers-at-unsw-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-23 13:30:00 UTC 2022-03-24 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at Deakin Online

    24 - 25 March 2022

    Learn to Program: Python at Deakin Online https://dresa.org.au/events/learn-to-program-python-at-deakin-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. 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 anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2022-03-24 10:00:00 UTC 2022-03-25 14:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UniSA Online

    24 - 25 March 2022

    Excel for Researchers at UniSA Online https://dresa.org.au/events/excel-for-researchers-at-unisa-online 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: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-24 13:30:00 UTC 2022-03-25 16:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at Western Sydney: Online

    25 March 2022

    Getting started with NVivo for Windows at Western Sydney: Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-western-sydney-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-25 09:30:00 UTC 2022-03-25 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UC Online

    28 - 29 March 2022

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-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. 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 anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2022-03-28 13:30:00 UTC 2022-03-29 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Unix Shell and Command Line Basics at UNSW Online

    29 March 2022

    Unix Shell and Command Line Basics at UNSW Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-unsw-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).** 2022-03-29 09:30:00 UTC 2022-03-29 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

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