Register event
Subscribe to Filter
Importing into Google Calendar
In the left-hand column of the Google Calendar main view, click the arrow to the right of "Other calendars" and click "Add by URL". In the form that appears, paste in the URL from the box above, and click the button to confirm.
Please note, it may take a while for newly created events in DReSA to synchronise with your Google Calendar.
98 events found
Host institutions: Intersect Australia
-
Learn to Program: Python at Adelaide
10 - 11 February 2026
Learn to Program: Python at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-adelaide Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2026-02-10 09:30:00 UTC 2026-02-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UNE Online
10 - 11 February 2026
Excel for Researchers at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-une-online-4f4716fb-3094-4946-bc9b-c0b67de41055 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). 2026-02-10 09:30:00 UTC 2026-02-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Entry, Exploration, & Analysis in SPSS at LTU Online
11 - 12 February 2026
Data Entry, Exploration, & Analysis in SPSS at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-entry-exploration-analysis-in-spss-at-ltu-online-4727ed70-99a7-4d04-85fe-1a567ce62c9b 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 SPSS Variable and Data views. - Create and describe data from scratch. - Import Data from Excel. - Familiarise yourself with exploratory data analysis (EDA), including: - Understand variable types, identity missing data and outliers. - Visualise data in graphs and tables. - Compose SPSS Syntax to repeat and store analysis steps. - Generate a report testing assumptions of statistical tests. - Additional exercises: - Check assumptions for common statistical tests. - Make stunning plots. #### 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). 2026-02-11 10:00:00 UTC 2026-02-12 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at WSU Online
12 February 2026
Surveying with Qualtrics at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-wsu-online-b4485923-6785-4ace-89e9-b7aec9ac8de1 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-02-12 09:30:00 UTC 2026-02-12 12:45:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at Adelaide
17 - 18 February 2026
Data Manipulation and Visualisation in Python at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-adelaide Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: The fundamental programming concepts taught in our [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course is assumed knowledge for participating in this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2026-02-17 09:30:00 UTC 2026-02-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UNSW Online
17 - 18 February 2026
Learn to Program: Python at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-unsw-online-72e7aa12-4185-4e41-ae3a-be35f31fc51e Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2026-02-17 09:30:00 UTC 2026-02-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UNE Online
17 - 18 February 2026
Learn to Program: R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-une-online-363f4b58-9c59-4379-a58a-dfd6a945c063 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). 2026-02-17 09:30:00 UTC 2026-02-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Excel for Researchers at ACU
18 - 19 February 2026
Introduction to Excel for Researchers at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-excel-for-researchers-at-acu-34266a56-de21-4d33-be58-509e61306fd9 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). 2026-02-18 10:00:00 UTC 2026-02-19 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at UC Online
19 February 2026
Surveying with Qualtrics at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-uc-online-aa278d26-2391-414b-84aa-ffc1111c86e8 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-02-19 09:30:00 UTC 2026-02-19 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at LTU Online
19 February 2026
Data Capture and Surveys with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-1029c8bb-3bd9-4472-b98e-b7a1c7781713 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). 2026-02-19 10:00:00 UTC 2026-02-19 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at UNE Online
20 February 2026
Data Capture and Surveys with REDCap at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-une-online-3c8d0141-9aa2-42af-b746-c49e95928082 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). 2026-02-20 09:30:00 UTC 2026-02-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Research Data Management at WSU Online
20 February 2026
Introduction to Research Data Management at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online-8ea54f44-f0cb-4279-bc64-ca9994c8405d Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2026-02-20 10:00:00 UTC 2026-02-20 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at UNSW Online
24 - 25 February 2026
Data Manipulation and Visualisation in Python at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-unsw-online-1585dd97-2eb2-4051-a776-f7ba13aab5f7 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: The fundamental programming concepts taught in our [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course is assumed knowledge for participating in this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2026-02-24 09:30:00 UTC 2026-02-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UNE Online
24 - 25 February 2026
Learn to Program: Python at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-une-online-dd9cd85c-b586-4ed1-8726-2b7cb2a0745f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2026-02-24 09:30:00 UTC 2026-02-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at Adelaide
24 - 25 February 2026
Excel for Researchers at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-adelaide 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). 2026-02-24 09:30:00 UTC 2026-02-25 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at Flinders
25 February 2026
Learn to Program: R at Flinders https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-flinders 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). 2026-02-25 09:00:00 UTC 2026-02-25 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Longitudinal Trials with REDCap at LTU Online
25 February 2026
Longitudinal Trials with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-3e42c052-518f-473f-b044-c903e3649e8f REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. #### You'll learn: Build a longitudinal project Manage participants throughout multiple events Configure and use Automated Survey Invitations Use Smart Variables to add powerful features to your logic Take advantage of high-granularity permissions for your collaborators Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \Data Capture and Surveys with REDCap\ workshop. For more information, please click [here](https://intersect.org.au/training/course/redcap201). 2026-02-25 10:00:00 UTC 2026-02-25 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with NVivo for Windows at UC Online
26 February 2026
Getting started with NVivo for Windows at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-uc-online-bce8d4cd-4091-415a-b662-f49747e16128 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: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using **NVivo14** or **NVivo 15** for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2026-02-26 09:30:00 UTC 2026-02-26 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at WSU Online
26 February 2026
Data Capture and Surveys with REDCap at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-wsu-online-23610c2d-064c-4c14-a5fd-2d5c7dee3dfc 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). 2026-02-26 09:30:00 UTC 2026-02-26 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Beyond Basics: Conditionals and Visualisation in Excel at ACU
26 February 2026
Beyond Basics: Conditionals and Visualisation in Excel at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-acu-d5c2e925-7083-443d-8078-757d68c5e6f5 After cleaning your dataset, 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). 2026-02-26 10:00:00 UTC 2026-02-26 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at UNE Online
27 February 2026
Surveying with Qualtrics at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-4701ae5e-2fb5-45d6-8a03-f326f6400046 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-02-27 09:30:00 UTC 2026-02-27 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at Adelaide
3 - 4 March 2026
Learn to Program: R at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-adelaide 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). 2026-03-03 09:30:00 UTC 2026-03-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning Using Python: Introduction & Linear Regression at UNSW Online
3 - 4 March 2026
Introduction to Machine Learning Using Python: Introduction & Linear Regression at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unsw-online-a2c64b18-748b-4eef-a9ce-64fa538dbaa2 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Understand the difference between supervised and unsupervised Machine Learning. - Understand the fundamentals of Machine Learning. - Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: This course assumes a good deal of Python, and data manipulation in Python. Learners should have attended [Learn to Program: Python](https://intersect.org.au/training/course/python101/), and either [Data Manipulation in Python](https://intersect.org.au/training/course/python201), or [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/). If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there are a few mathematical formulae covered in this course and the references will be provided. Having an understanding of the mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2026-03-03 09:30:00 UTC 2026-03-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at UNE Online
3 - 4 March 2026
Data Manipulation and Visualisation in R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-une-online-231a38d1-bf41-41be-bd10-e071c043316c R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: The skills developed in [Learn to Program: R](https://intersect.org.au/training/course/r101/) are 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/) course to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2026-03-03 09:30:00 UTC 2026-03-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at WSU Online
4 - 5 March 2026
Excel for Researchers at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-wsu-online-bb34132b-2dad-48a1-827a-3fcf18177770 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). 2026-03-04 09:30:00 UTC 2026-03-05 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Surveying with Qualtrics at ACU
4 March 2026
Introduction to Surveying with Qualtrics at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-surveying-with-qualtrics-at-acu-fbbac7cd-c058-4813-841b-8506ed45ce38 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-03-04 10:00:00 UTC 2026-03-04 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Randomised Controlled Trials with REDCap at LTU Online
4 March 2026
Randomised Controlled Trials with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/randomised-controlled-trials-with-redcap-at-ltu-online-edc73b40-90f7-459a-bbdc-e0b246fa673a REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. In this course, learn how to manage a Randomised Controlled Trial using REDCap, including the randomisation module, adverse event reporting and automated participant withdrawals. This course will introduce some of REDCap’s more advanced features for running randomised trials, and builds on the material taught in REDCAP201 – Longitudinal Trials with REDCap. #### You'll learn: - Create Data Access Groups (DAGs) and assign users to manage trial sites - Build randomisation allocation table - Enable and implement participant randomisation module - Design an adverse reporting system using Automated Survey Invitations and Alerts - Create an automated participant withdrawal process - Customise record dashboards #### Prerequisites: Learners should have a solid understanding of REDCap and be familiar with the content of [Data Capture and Surveys with REDCap](https://intersectaustralia.github.io/training/REDCAP101/) and [Longitudinal Trials with REDCap](https://intersectaustralia.github.io/training/REDCAP201/). For more information, please click [here](https://intersect.org.au/training/course/redcap202). 2026-03-04 10:00:00 UTC 2026-03-04 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at UC Online
5 March 2026
Data Capture and Surveys with REDCap at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uc-online-0d5936d3-c5e1-404c-a2e5-5085b149f557 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). 2026-03-05 09:30:00 UTC 2026-03-05 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with NVivo for Windows at UNE Online
6 March 2026
Getting started with NVivo for Windows at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-une-online-00087df5-b090-44c1-b2f2-0e4b0ec85aa4 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: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using **NVivo14** or **NVivo 15** for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2026-03-06 09:30:00 UTC 2026-03-06 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UNSW Online
10 - 11 March 2026
Learn to Program: R at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-unsw-online-81f40a5e-0d61-427c-bbeb-2518265fa877 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). 2026-03-10 09:30:00 UTC 2026-03-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []
-
Learn to Program: Python at Adelaide
10 - 11 February 2026
Learn to Program: Python at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-adelaide Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2026-02-10 09:30:00 UTC 2026-02-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UNE Online
10 - 11 February 2026
Excel for Researchers at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-une-online-4f4716fb-3094-4946-bc9b-c0b67de41055 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). 2026-02-10 09:30:00 UTC 2026-02-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Entry, Exploration, & Analysis in SPSS at LTU Online
11 - 12 February 2026
Data Entry, Exploration, & Analysis in SPSS at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-entry-exploration-analysis-in-spss-at-ltu-online-4727ed70-99a7-4d04-85fe-1a567ce62c9b 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 SPSS Variable and Data views. - Create and describe data from scratch. - Import Data from Excel. - Familiarise yourself with exploratory data analysis (EDA), including: - Understand variable types, identity missing data and outliers. - Visualise data in graphs and tables. - Compose SPSS Syntax to repeat and store analysis steps. - Generate a report testing assumptions of statistical tests. - Additional exercises: - Check assumptions for common statistical tests. - Make stunning plots. #### 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). 2026-02-11 10:00:00 UTC 2026-02-12 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at WSU Online
12 February 2026
Surveying with Qualtrics at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-wsu-online-b4485923-6785-4ace-89e9-b7aec9ac8de1 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-02-12 09:30:00 UTC 2026-02-12 12:45:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at Adelaide
17 - 18 February 2026
Data Manipulation and Visualisation in Python at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-adelaide Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: The fundamental programming concepts taught in our [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course is assumed knowledge for participating in this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2026-02-17 09:30:00 UTC 2026-02-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UNSW Online
17 - 18 February 2026
Learn to Program: Python at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-unsw-online-72e7aa12-4185-4e41-ae3a-be35f31fc51e Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2026-02-17 09:30:00 UTC 2026-02-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UNE Online
17 - 18 February 2026
Learn to Program: R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-une-online-363f4b58-9c59-4379-a58a-dfd6a945c063 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). 2026-02-17 09:30:00 UTC 2026-02-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Excel for Researchers at ACU
18 - 19 February 2026
Introduction to Excel for Researchers at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-excel-for-researchers-at-acu-34266a56-de21-4d33-be58-509e61306fd9 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). 2026-02-18 10:00:00 UTC 2026-02-19 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at UC Online
19 February 2026
Surveying with Qualtrics at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-uc-online-aa278d26-2391-414b-84aa-ffc1111c86e8 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-02-19 09:30:00 UTC 2026-02-19 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at LTU Online
19 February 2026
Data Capture and Surveys with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-1029c8bb-3bd9-4472-b98e-b7a1c7781713 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). 2026-02-19 10:00:00 UTC 2026-02-19 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at UNE Online
20 February 2026
Data Capture and Surveys with REDCap at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-une-online-3c8d0141-9aa2-42af-b746-c49e95928082 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). 2026-02-20 09:30:00 UTC 2026-02-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Research Data Management at WSU Online
20 February 2026
Introduction to Research Data Management at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online-8ea54f44-f0cb-4279-bc64-ca9994c8405d Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2026-02-20 10:00:00 UTC 2026-02-20 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in Python at UNSW Online
24 - 25 February 2026
Data Manipulation and Visualisation in Python at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-unsw-online-1585dd97-2eb2-4051-a776-f7ba13aab5f7 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: The fundamental programming concepts taught in our [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course is assumed knowledge for participating in this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2026-02-24 09:30:00 UTC 2026-02-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: Python at UNE Online
24 - 25 February 2026
Learn to Program: Python at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-une-online-dd9cd85c-b586-4ed1-8726-2b7cb2a0745f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2026-02-24 09:30:00 UTC 2026-02-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at Adelaide
24 - 25 February 2026
Excel for Researchers at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-adelaide 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). 2026-02-24 09:30:00 UTC 2026-02-25 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at Flinders
25 February 2026
Learn to Program: R at Flinders https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-flinders 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). 2026-02-25 09:00:00 UTC 2026-02-25 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Longitudinal Trials with REDCap at LTU Online
25 February 2026
Longitudinal Trials with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-ltu-online-3e42c052-518f-473f-b044-c903e3649e8f REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. #### You'll learn: Build a longitudinal project Manage participants throughout multiple events Configure and use Automated Survey Invitations Use Smart Variables to add powerful features to your logic Take advantage of high-granularity permissions for your collaborators Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \Data Capture and Surveys with REDCap\ workshop. For more information, please click [here](https://intersect.org.au/training/course/redcap201). 2026-02-25 10:00:00 UTC 2026-02-25 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with NVivo for Windows at UC Online
26 February 2026
Getting started with NVivo for Windows at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-uc-online-bce8d4cd-4091-415a-b662-f49747e16128 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: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using **NVivo14** or **NVivo 15** for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2026-02-26 09:30:00 UTC 2026-02-26 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at WSU Online
26 February 2026
Data Capture and Surveys with REDCap at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-wsu-online-23610c2d-064c-4c14-a5fd-2d5c7dee3dfc 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). 2026-02-26 09:30:00 UTC 2026-02-26 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Beyond Basics: Conditionals and Visualisation in Excel at ACU
26 February 2026
Beyond Basics: Conditionals and Visualisation in Excel at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-acu-d5c2e925-7083-443d-8078-757d68c5e6f5 After cleaning your dataset, 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). 2026-02-26 10:00:00 UTC 2026-02-26 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at UNE Online
27 February 2026
Surveying with Qualtrics at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-4701ae5e-2fb5-45d6-8a03-f326f6400046 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-02-27 09:30:00 UTC 2026-02-27 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at Adelaide
3 - 4 March 2026
Learn to Program: R at Adelaide https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-adelaide 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). 2026-03-03 09:30:00 UTC 2026-03-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning Using Python: Introduction & Linear Regression at UNSW Online
3 - 4 March 2026
Introduction to Machine Learning Using Python: Introduction & Linear Regression at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unsw-online-a2c64b18-748b-4eef-a9ce-64fa538dbaa2 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Understand the difference between supervised and unsupervised Machine Learning. - Understand the fundamentals of Machine Learning. - Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: This course assumes a good deal of Python, and data manipulation in Python. Learners should have attended [Learn to Program: Python](https://intersect.org.au/training/course/python101/), and either [Data Manipulation in Python](https://intersect.org.au/training/course/python201), or [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/). If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there are a few mathematical formulae covered in this course and the references will be provided. Having an understanding of the mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2026-03-03 09:30:00 UTC 2026-03-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at UNE Online
3 - 4 March 2026
Data Manipulation and Visualisation in R at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-une-online-231a38d1-bf41-41be-bd10-e071c043316c R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: The skills developed in [Learn to Program: R](https://intersect.org.au/training/course/r101/) are 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/) course to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2026-03-03 09:30:00 UTC 2026-03-04 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at WSU Online
4 - 5 March 2026
Excel for Researchers at WSU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-wsu-online-bb34132b-2dad-48a1-827a-3fcf18177770 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). 2026-03-04 09:30:00 UTC 2026-03-05 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Introduction to Surveying with Qualtrics at ACU
4 March 2026
Introduction to Surveying with Qualtrics at ACU https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-surveying-with-qualtrics-at-acu-fbbac7cd-c058-4813-841b-8506ed45ce38 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2026-03-04 10:00:00 UTC 2026-03-04 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Randomised Controlled Trials with REDCap at LTU Online
4 March 2026
Randomised Controlled Trials with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/randomised-controlled-trials-with-redcap-at-ltu-online-edc73b40-90f7-459a-bbdc-e0b246fa673a REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. In this course, learn how to manage a Randomised Controlled Trial using REDCap, including the randomisation module, adverse event reporting and automated participant withdrawals. This course will introduce some of REDCap’s more advanced features for running randomised trials, and builds on the material taught in REDCAP201 – Longitudinal Trials with REDCap. #### You'll learn: - Create Data Access Groups (DAGs) and assign users to manage trial sites - Build randomisation allocation table - Enable and implement participant randomisation module - Design an adverse reporting system using Automated Survey Invitations and Alerts - Create an automated participant withdrawal process - Customise record dashboards #### Prerequisites: Learners should have a solid understanding of REDCap and be familiar with the content of [Data Capture and Surveys with REDCap](https://intersectaustralia.github.io/training/REDCAP101/) and [Longitudinal Trials with REDCap](https://intersectaustralia.github.io/training/REDCAP201/). For more information, please click [here](https://intersect.org.au/training/course/redcap202). 2026-03-04 10:00:00 UTC 2026-03-04 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at UC Online
5 March 2026
Data Capture and Surveys with REDCap at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uc-online-0d5936d3-c5e1-404c-a2e5-5085b149f557 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). 2026-03-05 09:30:00 UTC 2026-03-05 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Getting started with NVivo for Windows at UNE Online
6 March 2026
Getting started with NVivo for Windows at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-une-online-00087df5-b090-44c1-b2f2-0e4b0ec85aa4 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: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using **NVivo14** or **NVivo 15** for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2026-03-06 09:30:00 UTC 2026-03-06 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at UNSW Online
10 - 11 March 2026
Learn to Program: R at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-unsw-online-81f40a5e-0d61-427c-bbeb-2518265fa877 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). 2026-03-10 09:30:00 UTC 2026-03-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []
Note, this map only displays events that have geolocation information in
DReSA.
For the complete list of events in DReSA, click the grid tab.