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  • Data Capture and Surveys with REDCap at La Trobe Online

    15 August 2023

    Data Capture and Surveys with REDCap at La Trobe Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online-3c7b3b4e-3401-4147-93eb-46fdc58b8e22 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 - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-08-15 10:00:00 UTC 2023-08-15 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UNSW Online

    15 - 16 August 2023

    Excel for Researchers at UNSW Online https://dresa.org.au/events/excel-for-researchers-at-unsw-online-e5d43780-fe1a-4ff2-a72e-8c9f38de2148 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).** 2023-08-15 13:30:00 UTC 2023-08-16 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at La Trobe Online

    17 - 18 August 2023

    Learn to Program: Python at La Trobe Online https://dresa.org.au/events/learn-to-program-python-at-la-trobe-online-92a2525c-3065-464c-a07d-15012fc3c5c9 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](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2023-08-17 10:00:00 UTC 2023-08-18 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Introduction to Programming: Plotting and Programming with Python

    22 - 25 August 2023

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-ad7c9607-89ea-411f-bf96-ec8d3812bac3 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2023-08-22 09:00:00 UTC 2023-08-25 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Getting started with HPC using PBS Pro at La Trobe Online

    22 - 23 August 2023

    Getting started with HPC using PBS Pro at La Trobe Online https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-la-trobe-online-d58cebff-34cd-4e46-9a56-9dc2493ea72a 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).** 2023-08-22 10:00:00 UTC 2023-08-23 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Statistical Comparisons using SPSS

    28 August 2023

    Statistical Comparisons using SPSS https://dresa.org.au/events/statistical-comparisons-using-spss-82ca33b8-439b-447b-ab79-dd1d4d953314 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-08-28 09:00:00 UTC 2023-08-28 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Learn to Program: R at UNSW Online

    29 - 30 August 2023

    Learn to Program: R at UNSW Online https://dresa.org.au/events/learn-to-program-r-at-unsw-online-50b0f90f-c411-49b9-9b6b-91f09b7926f3 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](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2023-08-29 13:30:00 UTC 2023-08-30 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at ACU Online

    30 - 31 August 2023

    Excel for Researchers at ACU Online https://dresa.org.au/events/excel-for-researchers-at-acu-online-bba85166-d438-493e-9be9-5edc1770b157 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).** 2023-08-30 13:30:00 UTC 2023-08-31 16:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at UNSW Online

    5 September 2023

    Data Manipulation in R at UNSW Online https://dresa.org.au/events/data-manipulation-in-r-at-unsw-online-207fb64d-37b9-4cb0-8524-62e50f6e3357 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](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/r201).** 2023-09-05 13:30:00 UTC 2023-09-05 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at UNSW Online

    6 September 2023

    Data Visualisation in R at UNSW Online https://dresa.org.au/events/data-visualisation-in-r-at-unsw-online-cae0575f-6a36-4e4b-be75-c760641b3ba2 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](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. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2023-09-06 09:30:00 UTC 2023-09-06 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Introduction to SPSS

    8 September 2023

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-b77c600a-1480-40c4-b98d-4e32dfb46dd4 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2023-09-08 09:00:00 UTC 2023-09-08 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    11 - 14 September 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-8f7e2ec2-825f-4e9b-9f7b-b00a77c22277 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-09-11 09:00:00 UTC 2023-09-14 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Data Entry and Processing in SPSS at ACU Online

    12 - 13 September 2023

    Data Entry and Processing in SPSS at ACU Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-acu-online-5cfcd720-8c18-492b-9b4f-fd59f335c43b This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-09-12 13:30:00 UTC 2023-09-13 16:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UniSA

    14 - 15 September 2023

    Magill, Australia

    Excel for Researchers at UniSA https://dresa.org.au/events/excel-for-researchers-at-unisa 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).** 2023-09-14 09:00:00 UTC 2023-09-15 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []

  • Statistical Comparisons using R

    15 September 2023

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-cc9adec4-df1d-4004-a2d0-ea52f6dfa921 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-09-15 09:00:00 UTC 2023-09-15 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Linear Regression using R

    19 September 2023

    Linear Regression using R https://dresa.org.au/events/linear-regression-using-r-eaeb0b3c-036b-4c73-a08f-66c156c02065 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R. 2023-09-19 09:00:00 UTC 2023-09-19 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • R for Social Scientists at UNSW Online

    19 - 20 September 2023

    R for Social Scientists at UNSW Online https://dresa.org.au/events/r-for-social-scientists-at-unsw-online-915fe503-e24a-44ce-ba66-016a62560e0b R is quickly gaining popularity as a programming language of choice for researchers. It has an excellent ecosystem including the powerful RStudio development environment. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Data Carpentry. #### You'll learn: - Basic syntax and data types in R - RStudio interface - How to import CSV files into R - The structure of data frames - A brief introduction to data wrangling and data transformation - How to calculate summary statistics - A brief introduction to visualise data #### Prerequisites: No prior experience with programming needed to attend this course. **For more information, please click [here](https://intersect.org.au/training/course/r103).** 2023-09-19 13:30:00 UTC 2023-09-20 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Containers for Reproducible Computational Environments

    21 September 2023

    Containers for Reproducible Computational Environments https://dresa.org.au/events/containers-for-reproducible-computational-environments-8b0e95fd-4f5a-455b-968e-36f76baa734a Containers are self-contained pieces of software that allow you to run applications easily across all sorts of different computing hardware – from your laptop to your institutional high-performance computing system – without the need for a complicated installation process. Containers are also an effective way of achieving a reproducible analysis pipeline, allowing researchers to ensure that the same version of an application and consistent computational environment are used each time. This short introductory course will show you how to find and use Singularity containers in a typical university HPC (high performance computing) context. The workshop does not cover the use of the Docker container platform, although you will learn how to import Docker containers into Singularity. 2023-09-21 09:00:00 UTC 2023-09-21 12:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Data Entry and Processing in SPSS at UNSW Online

    26 - 27 September 2023

    Data Entry and Processing in SPSS at UNSW Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-unsw-online-2e30e320-3e91-4394-8469-cb00f4f1eb0b This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-09-26 13:30:00 UTC 2023-09-27 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Beyond Basics: Conditionals and Visualisation in Excel at UniSA

    27 September 2023

    Magill, Australia

    Beyond Basics: Conditionals and Visualisation in Excel at UniSA https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-unisa 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).** 2023-09-27 09:00:00 UTC 2023-09-27 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []

  • Longitudinal and Mixed Model Analysis with R

    4 October 2023

    Longitudinal and Mixed Model Analysis with R https://dresa.org.au/events/longitudinal-and-mixed-model-analysis-with-r-f0938187-3ce9-48ba-bc25-da0237cb83c9 This workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R. The course will cover the principles of Linear Mixed Models from simple models to more complex ones and includes practical sessions getting hands-on experience of longitudinal analysis in R. 2023-10-04 09:00:00 UTC 2023-10-04 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    10 - 13 October 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-5f88b611-c157-447f-b2e9-b538137a1837 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-10-10 09:00:00 UTC 2023-10-13 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Unix

    16 October 2023

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-bc01596a-861f-43f8-ae53-4b31eec8246d The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2023-10-16 09:00:00 UTC 2023-10-16 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Linear Regression using SPSS

    19 October 2023

    Linear Regression using SPSS https://dresa.org.au/events/linear-regression-using-spss-2a64ca34-1c35-4950-a19f-8e5cc8c3e17b This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2023-10-19 09:00:00 UTC 2023-10-19 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: Plotting and Programming with Python

    23 - 26 October 2023

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-5d29aca3-e30a-4588-84a7-16ddd16ed6aa This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2023-10-23 09:00:00 UTC 2023-10-26 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Learn to Program: R at UniSA

    24 - 25 October 2023

    Magill, Australia

    Learn to Program: R at UniSA https://dresa.org.au/events/learn-to-program-r-at-unisa 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](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2023-10-24 09:00:00 UTC 2023-10-25 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []

  • Introduction to SPSS

    31 October 2023

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-e88a53c0-6b56-4bc0-850f-a006473b6f41 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2023-10-31 09:00:00 UTC 2023-10-31 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Statistical Comparisons using R

    2 November 2023

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-e61745ca-d9f2-4a61-bccc-ae18dd1c5a86 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-11-02 09:00:00 UTC 2023-11-02 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    6 - 9 November 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cf2a287c-abe2-4e6a-a2e0-a04b7b472538 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-11-06 09:00:00 UTC 2023-11-09 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to HPC

    13 November 2023

    Introduction to HPC https://dresa.org.au/events/introduction-to-hpc-a3084e80-4009-4b80-b800-5c859a1b5130 High-Performance Computing, or HPC, is the use of computers orders of magnitude faster and more powerful than even the best desktop PC. As research becomes more and more data-intensive, an ever broader range of researchers are using HPC for their data analysis. This workshop will give you an introduction to using high-performance computing systems effectively (as well as their limitations), and will introduce the basics of how to access a HPC cluster, load and use software, and submit jobs to run. 2023-11-13 09:00:00 UTC 2023-11-13 13:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop host_institution []

  • Data Capture and Surveys with REDCap at La Trobe Online

    15 August 2023

    Data Capture and Surveys with REDCap at La Trobe Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online-3c7b3b4e-3401-4147-93eb-46fdc58b8e22 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 - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-08-15 10:00:00 UTC 2023-08-15 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UNSW Online

    15 - 16 August 2023

    Excel for Researchers at UNSW Online https://dresa.org.au/events/excel-for-researchers-at-unsw-online-e5d43780-fe1a-4ff2-a72e-8c9f38de2148 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).** 2023-08-15 13:30:00 UTC 2023-08-16 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at La Trobe Online

    17 - 18 August 2023

    Learn to Program: Python at La Trobe Online https://dresa.org.au/events/learn-to-program-python-at-la-trobe-online-92a2525c-3065-464c-a07d-15012fc3c5c9 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](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2023-08-17 10:00:00 UTC 2023-08-18 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Introduction to Programming: Plotting and Programming with Python

    22 - 25 August 2023

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-ad7c9607-89ea-411f-bf96-ec8d3812bac3 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2023-08-22 09:00:00 UTC 2023-08-25 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Getting started with HPC using PBS Pro at La Trobe Online

    22 - 23 August 2023

    Getting started with HPC using PBS Pro at La Trobe Online https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-la-trobe-online-d58cebff-34cd-4e46-9a56-9dc2493ea72a 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).** 2023-08-22 10:00:00 UTC 2023-08-23 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Statistical Comparisons using SPSS

    28 August 2023

    Statistical Comparisons using SPSS https://dresa.org.au/events/statistical-comparisons-using-spss-82ca33b8-439b-447b-ab79-dd1d4d953314 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-08-28 09:00:00 UTC 2023-08-28 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Learn to Program: R at UNSW Online

    29 - 30 August 2023

    Learn to Program: R at UNSW Online https://dresa.org.au/events/learn-to-program-r-at-unsw-online-50b0f90f-c411-49b9-9b6b-91f09b7926f3 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](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2023-08-29 13:30:00 UTC 2023-08-30 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at ACU Online

    30 - 31 August 2023

    Excel for Researchers at ACU Online https://dresa.org.au/events/excel-for-researchers-at-acu-online-bba85166-d438-493e-9be9-5edc1770b157 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).** 2023-08-30 13:30:00 UTC 2023-08-31 16:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at UNSW Online

    5 September 2023

    Data Manipulation in R at UNSW Online https://dresa.org.au/events/data-manipulation-in-r-at-unsw-online-207fb64d-37b9-4cb0-8524-62e50f6e3357 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](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/r201).** 2023-09-05 13:30:00 UTC 2023-09-05 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at UNSW Online

    6 September 2023

    Data Visualisation in R at UNSW Online https://dresa.org.au/events/data-visualisation-in-r-at-unsw-online-cae0575f-6a36-4e4b-be75-c760641b3ba2 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](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. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2023-09-06 09:30:00 UTC 2023-09-06 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Introduction to SPSS

    8 September 2023

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-b77c600a-1480-40c4-b98d-4e32dfb46dd4 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2023-09-08 09:00:00 UTC 2023-09-08 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    11 - 14 September 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-8f7e2ec2-825f-4e9b-9f7b-b00a77c22277 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-09-11 09:00:00 UTC 2023-09-14 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Data Entry and Processing in SPSS at ACU Online

    12 - 13 September 2023

    Data Entry and Processing in SPSS at ACU Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-acu-online-5cfcd720-8c18-492b-9b4f-fd59f335c43b This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-09-12 13:30:00 UTC 2023-09-13 16:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UniSA

    14 - 15 September 2023

    Magill, Australia

    Excel for Researchers at UniSA https://dresa.org.au/events/excel-for-researchers-at-unisa 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).** 2023-09-14 09:00:00 UTC 2023-09-15 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []

  • Statistical Comparisons using R

    15 September 2023

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-cc9adec4-df1d-4004-a2d0-ea52f6dfa921 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-09-15 09:00:00 UTC 2023-09-15 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Linear Regression using R

    19 September 2023

    Linear Regression using R https://dresa.org.au/events/linear-regression-using-r-eaeb0b3c-036b-4c73-a08f-66c156c02065 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R. 2023-09-19 09:00:00 UTC 2023-09-19 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • R for Social Scientists at UNSW Online

    19 - 20 September 2023

    R for Social Scientists at UNSW Online https://dresa.org.au/events/r-for-social-scientists-at-unsw-online-915fe503-e24a-44ce-ba66-016a62560e0b R is quickly gaining popularity as a programming language of choice for researchers. It has an excellent ecosystem including the powerful RStudio development environment. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Data Carpentry. #### You'll learn: - Basic syntax and data types in R - RStudio interface - How to import CSV files into R - The structure of data frames - A brief introduction to data wrangling and data transformation - How to calculate summary statistics - A brief introduction to visualise data #### Prerequisites: No prior experience with programming needed to attend this course. **For more information, please click [here](https://intersect.org.au/training/course/r103).** 2023-09-19 13:30:00 UTC 2023-09-20 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Containers for Reproducible Computational Environments

    21 September 2023

    Containers for Reproducible Computational Environments https://dresa.org.au/events/containers-for-reproducible-computational-environments-8b0e95fd-4f5a-455b-968e-36f76baa734a Containers are self-contained pieces of software that allow you to run applications easily across all sorts of different computing hardware – from your laptop to your institutional high-performance computing system – without the need for a complicated installation process. Containers are also an effective way of achieving a reproducible analysis pipeline, allowing researchers to ensure that the same version of an application and consistent computational environment are used each time. This short introductory course will show you how to find and use Singularity containers in a typical university HPC (high performance computing) context. The workshop does not cover the use of the Docker container platform, although you will learn how to import Docker containers into Singularity. 2023-09-21 09:00:00 UTC 2023-09-21 12:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Data Entry and Processing in SPSS at UNSW Online

    26 - 27 September 2023

    Data Entry and Processing in SPSS at UNSW Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-unsw-online-2e30e320-3e91-4394-8469-cb00f4f1eb0b This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-09-26 13:30:00 UTC 2023-09-27 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Beyond Basics: Conditionals and Visualisation in Excel at UniSA

    27 September 2023

    Magill, Australia

    Beyond Basics: Conditionals and Visualisation in Excel at UniSA https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-unisa 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).** 2023-09-27 09:00:00 UTC 2023-09-27 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []

  • Longitudinal and Mixed Model Analysis with R

    4 October 2023

    Longitudinal and Mixed Model Analysis with R https://dresa.org.au/events/longitudinal-and-mixed-model-analysis-with-r-f0938187-3ce9-48ba-bc25-da0237cb83c9 This workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R. The course will cover the principles of Linear Mixed Models from simple models to more complex ones and includes practical sessions getting hands-on experience of longitudinal analysis in R. 2023-10-04 09:00:00 UTC 2023-10-04 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    10 - 13 October 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-5f88b611-c157-447f-b2e9-b538137a1837 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-10-10 09:00:00 UTC 2023-10-13 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Unix

    16 October 2023

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-bc01596a-861f-43f8-ae53-4b31eec8246d The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2023-10-16 09:00:00 UTC 2023-10-16 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Linear Regression using SPSS

    19 October 2023

    Linear Regression using SPSS https://dresa.org.au/events/linear-regression-using-spss-2a64ca34-1c35-4950-a19f-8e5cc8c3e17b This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2023-10-19 09:00:00 UTC 2023-10-19 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: Plotting and Programming with Python

    23 - 26 October 2023

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-5d29aca3-e30a-4588-84a7-16ddd16ed6aa This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2023-10-23 09:00:00 UTC 2023-10-26 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Learn to Program: R at UniSA

    24 - 25 October 2023

    Magill, Australia

    Learn to Program: R at UniSA https://dresa.org.au/events/learn-to-program-r-at-unisa 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](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2023-10-24 09:00:00 UTC 2023-10-25 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []

  • Introduction to SPSS

    31 October 2023

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-e88a53c0-6b56-4bc0-850f-a006473b6f41 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2023-10-31 09:00:00 UTC 2023-10-31 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Statistical Comparisons using R

    2 November 2023

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-e61745ca-d9f2-4a61-bccc-ae18dd1c5a86 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-11-02 09:00:00 UTC 2023-11-02 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    6 - 9 November 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cf2a287c-abe2-4e6a-a2e0-a04b7b472538 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-11-06 09:00:00 UTC 2023-11-09 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to HPC

    13 November 2023

    Introduction to HPC https://dresa.org.au/events/introduction-to-hpc-a3084e80-4009-4b80-b800-5c859a1b5130 High-Performance Computing, or HPC, is the use of computers orders of magnitude faster and more powerful than even the best desktop PC. As research becomes more and more data-intensive, an ever broader range of researchers are using HPC for their data analysis. This workshop will give you an introduction to using high-performance computing systems effectively (as well as their limitations), and will introduce the basics of how to access a HPC cluster, load and use software, and submit jobs to run. 2023-11-13 09:00:00 UTC 2023-11-13 13:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop host_institution []

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