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  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 December 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://staging.dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-3fd14254-749a-4bbe-9c2e-17f7749d35f2 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 December 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://staging.dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-73e8f81e-0588-409c-b259-00410a2e6806 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Learn to Program: Python at UOA Online

    10 - 11 December 2024

    Learn to Program: Python at UOA Online https://staging.dresa.org.au/events/learn-to-program-python-at-uoa-online-032afe7b-d89f-4b2f-bbf5-bf022e2a9137 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-12-10 09:30:00 UTC 2024-12-11 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

    10 December 2024

    Data Capture and Surveys with REDCap at LTU Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-5bd7743a-b79e-4696-925e-63f5151475dc 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). 2024-12-10 10:00:00 UTC 2024-12-10 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at La Trobe Online

    12 December 2024

    Getting started with NVivo for Windows at La Trobe Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-la-trobe-online-e42debf6-b7f9-43d5-a10f-d6617184741d 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 NVivo 14 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2024-12-12 10:00:00 UTC 2024-12-12 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at La Trobe Online

    17 - 18 December 2024

    Data Entry and Processing in SPSS at La Trobe Online https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-at-la-trobe-online-e16e55d4-d23f-4aa8-baf7-45e1cb8ff208 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/spss101).** 2024-12-17 10:00:00 UTC 2024-12-18 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UTS Online

    22 - 23 February 2025

    Excel for Researchers at UTS Online https://staging.dresa.org.au/events/excel-for-researchers-at-uts-online-812478aa-3801-4efc-aca7-2f9f923da458 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). 2025-02-22 09:30:00 UTC 2025-02-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at UTS Online

    20 March 2025

    Getting started with NVivo for Windows at UTS Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-uts-online-20a0abe5-91fa-4140-83db-224f4f592321 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 NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2025-03-20 09:30:00 UTC 2025-03-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Surveying with Qualtrics at UniSA (online)

    26 March 2025

    Surveying with Qualtrics at UniSA (online) https://staging.dresa.org.au/events/surveying-with-qualtrics-at-unisa-online-f960739d-9cbc-4265-84b7-ea8d9bec6072 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). 2025-03-26 09:00:00 UTC 2025-03-26 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Surveying with Qualtrics at UTS Online

    26 March 2025

    Surveying with Qualtrics at UTS Online https://staging.dresa.org.au/events/surveying-with-qualtrics-at-uts-online-904b1432-f6b1-4370-9112-c847b6abe592 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). 2025-03-26 09:30:00 UTC 2025-03-26 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

    26 - 27 March 2025

    Introduction to Machine Learning using Python: Introduction & Linear Regression at UNSW Online https://staging.dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unsw-online-3dc9f0f3-f5c8-4d64-bd82-f995484af61d Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either \Learn to Program: Python\ and \Data Manipulation in Python\ or \Learn to Program: Python\ and \Data Manipulation and Visualisation in Python\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2025-03-26 09:30:00 UTC 2025-03-27 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at LTU Online

    26 - 27 March 2025

    Learn to Program: Python at LTU Online https://staging.dresa.org.au/events/learn-to-program-python-at-ltu-online-9076185f-b919-403d-8da1-c500d4c72610 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). 2025-03-26 09:30:00 UTC 2025-03-27 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at UOA Online

    26 - 27 March 2025

    Data Entry and Processing in SPSS at UOA Online https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-at-uoa-online-4e2cbfb8-f025-4183-a4d2-b8a1d34fb112 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: Navigate the SPSS working environment Prepare data files and define variables Enter data in SPSS and Import data from Excel Perform data screening Compose SPSS Syntax for data processing Obtain descriptive statistics, create graphs & assess normality Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/spss101). 2025-03-26 09:30:00 UTC 2025-03-27 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at UniSA (online)

    26 - 27 March 2025

    Learn to Program: R at UniSA (online) https://staging.dresa.org.au/events/learn-to-program-r-at-unisa-online-66fb2cd3-d2d8-49ca-9580-41ff104f8cb1 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). 2025-03-26 13:00:00 UTC 2025-03-27 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in R at DU Online

    27 - 28 March 2025

    Data Manipulation and Visualisation in R at DU Online https://staging.dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-du-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: DataFrame Manipulation using the dplyr package DataFrame Transformation using the tidyr package Using the Grammar of Graphics to convert data into figures using the ggplot2 package Configuring plot elements within ggplot2 Exploring different types of plots using ggplot2 #### Prerequisites: Either \Learn to Program: R\ or \Learn to Program: R\ and \R for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: R\ and \R for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2025-03-27 09:30:00 UTC 2025-03-28 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using Python: Classification at UNSW Online

    2 - 3 April 2025

    Introduction to Machine Learning using Python: Classification at UNSW Online https://staging.dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-unsw-online-6899e761-91c2-41b1-b74a-02f5ecc85166 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: Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. #### Prerequisites: Either \Learn to Program: Python\, \Data Manipulation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ or \Learn to Program: Python\, \Data Manipulation and Visualisation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python206). 2025-04-02 09:30:00 UTC 2025-04-03 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at LTU Online

    2 - 3 April 2025

    Data Entry and Processing in SPSS at LTU Online https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-at-ltu-online-6d281d8b-cdbb-4854-9218-0b15cf433d23 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: Navigate the SPSS working environment Prepare data files and define variables Enter data in SPSS and Import data from Excel Perform data screening Compose SPSS Syntax for data processing Obtain descriptive statistics, create graphs & assess normality Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/spss101). 2025-04-02 10:00:00 UTC 2025-04-03 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at DU Online

    10 - 11 April 2025

    Excel for Researchers at DU Online https://staging.dresa.org.au/events/excel-for-researchers-at-du-online Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: 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). 2025-04-10 09:30:00 UTC 2025-04-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Databases and SQL at DPE Online

    10 April 2025

    Databases and SQL at DPE Online https://staging.dresa.org.au/events/databases-and-sql-at-dpe-online A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data. Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power. Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Understand and compose a query using SQL Use the SQL syntax to select, sort and filter data Calculate new values from existing data Aggregate data into sums, averages, and other operations Combine data from multiple tables Design and build your own relational databases #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/sql101). 2025-04-10 13:30:00 UTC 2025-04-10 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at UOA Online

    11 April 2025

    Data Capture and Surveys with REDCap at UOA Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uoa-online-faf81d17-23ba-4096-b776-ca4b72f28345 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). 2025-04-11 09:30:00 UTC 2025-04-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at UOA Online

    16 - 17 April 2025

    Learn to Program: R at UOA Online https://staging.dresa.org.au/events/learn-to-program-r-at-uoa-online-6ea09756-f8b1-4f39-a653-2a7a082c148c 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). 2025-04-16 09:30:00 UTC 2025-04-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at DU Online

    17 April 2025

    Getting started with NVivo for Windows at DU Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-du-online-3ddd1d22-00c4-480e-a5c4-c775a20a56cd 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 NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2025-04-17 09:30:00 UTC 2025-04-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with HPC using PBS Pro at UniSA (online)

    17 April 2025

    Getting started with HPC using PBS Pro at UniSA (online) https://staging.dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-unisa-online-dad5839b-0b60-4c81-a89e-5379b9e2c0e2 Is your computer’s limited power throttling your research ambitions? Are your analysis scripts pushing your laptop’s processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: Connect to an HPC cluster Use the Unix command line to operate a remote computer and create job scripts Submit and manage jobs on a cluster using a scheduler Transfer files to and from a remote computer Use software through environment modules Use parallelisation to speed up data analysis Access the facilities available to you as a researcher This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our \Unix Shell and Command Line Basics\ course. For more information, please click [here](https://intersect.org.au/training/course/hpc201). 2025-04-17 13:00:00 UTC 2025-04-17 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Beyond Basics: Conditionals and Visualisation in Excel at LTU Online

    19 April 2025

    Beyond Basics: Conditionals and Visualisation in Excel at LTU Online https://staging.dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-ltu-online After cleaning your database, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project. #### You'll learn: Cell syntax and conditional formatting IF functions Pivot Table summaries Nesting multiple AND/IF/OR calculations Combining nested calculations with conditional formatting to bring out important elements of the dataset MINIFS function Box plot creation and outlier identification Trendline and error bar chart enhancements #### Prerequisites: Familiarity with the content of Excel for Researchers, specifically:  the general Office/Excel interface (menus, ribbons/toolbars, etc.) workbooks and worksheets absolute and relative references, e.g. $A$1, A1. simple ranges, e.g. A1:B5 For more information, please click [here](https://intersect.org.au/training/course/excel201). 2025-04-19 10:00:00 UTC 2025-04-19 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at ACU

    23 - 24 April 2025

    Learn to Program: Python at ACU https://staging.dresa.org.au/events/learn-to-program-python-at-acu-c236b4ad-b5fb-4d4b-afd6-f00ecb3fbc63 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). 2025-04-23 09:30:00 UTC 2025-04-24 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    23 - 24 April 2025

    Learn to Program: Python at UC Online https://staging.dresa.org.au/events/learn-to-program-python-at-uc-online-11fa8ad6-f18e-498c-bdef-d94db3357f6f 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). 2025-04-23 09:30:00 UTC 2025-04-24 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at UOA Online

    23 April 2025

    Unix Shell and Command Line Basics at UOA Online https://staging.dresa.org.au/events/unix-shell-and-command-line-basics-at-uoa-online-1d0188ae-7db2-4b59-b7a9-25f328df82aa The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you’ll learn at this course are generally transferable to other Unix environments. #### You'll learn: Navigate and work with files and directories (folders) Use a selection of essential tools Combine data and tools to build a processing workflow Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/unix101). 2025-04-23 09:30:00 UTC 2025-04-23 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

    23 April 2025

    Data Capture and Surveys with REDCap at LTU Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-a7bb70c3-2a0f-4f5c-829a-d22015dffcd1 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). 2025-04-23 10:00:00 UTC 2025-04-23 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python at ACU

    30 April - 1 May 2025

    Data Manipulation and Visualisation in Python at ACU https://staging.dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-acu-62c9aa42-27e0-4737-99a0-97c72bab40f5 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Working with pandas DataFrames Indexing, slicing and subsetting in pandas DataFrames Missing data values Combine multiple pandas DataFrames Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn #### Prerequisites: Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2025-04-30 09:30:00 UTC 2025-05-01 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting Started with NVivo for Mac at UniSA (online)

    30 April 2025

    Getting Started with NVivo for Mac at UniSA (online) https://staging.dresa.org.au/events/getting-started-with-nvivo-for-mac-at-unisa-online-e9ff3820-c544-44f2-b32e-03a82310bb44 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 NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. For more information, please click [here](https://intersect.org.au/training/course/nvivo102). 2025-04-30 09:30:00 UTC 2025-04-30 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 December 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://staging.dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-3fd14254-749a-4bbe-9c2e-17f7749d35f2 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 December 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://staging.dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-73e8f81e-0588-409c-b259-00410a2e6806 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Learn to Program: Python at UOA Online

    10 - 11 December 2024

    Learn to Program: Python at UOA Online https://staging.dresa.org.au/events/learn-to-program-python-at-uoa-online-032afe7b-d89f-4b2f-bbf5-bf022e2a9137 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-12-10 09:30:00 UTC 2024-12-11 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

    10 December 2024

    Data Capture and Surveys with REDCap at LTU Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-5bd7743a-b79e-4696-925e-63f5151475dc 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). 2024-12-10 10:00:00 UTC 2024-12-10 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at La Trobe Online

    12 December 2024

    Getting started with NVivo for Windows at La Trobe Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-la-trobe-online-e42debf6-b7f9-43d5-a10f-d6617184741d 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 NVivo 14 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2024-12-12 10:00:00 UTC 2024-12-12 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at La Trobe Online

    17 - 18 December 2024

    Data Entry and Processing in SPSS at La Trobe Online https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-at-la-trobe-online-e16e55d4-d23f-4aa8-baf7-45e1cb8ff208 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/spss101).** 2024-12-17 10:00:00 UTC 2024-12-18 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UTS Online

    22 - 23 February 2025

    Excel for Researchers at UTS Online https://staging.dresa.org.au/events/excel-for-researchers-at-uts-online-812478aa-3801-4efc-aca7-2f9f923da458 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). 2025-02-22 09:30:00 UTC 2025-02-23 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at UTS Online

    20 March 2025

    Getting started with NVivo for Windows at UTS Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-uts-online-20a0abe5-91fa-4140-83db-224f4f592321 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 NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2025-03-20 09:30:00 UTC 2025-03-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Surveying with Qualtrics at UniSA (online)

    26 March 2025

    Surveying with Qualtrics at UniSA (online) https://staging.dresa.org.au/events/surveying-with-qualtrics-at-unisa-online-f960739d-9cbc-4265-84b7-ea8d9bec6072 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). 2025-03-26 09:00:00 UTC 2025-03-26 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Surveying with Qualtrics at UTS Online

    26 March 2025

    Surveying with Qualtrics at UTS Online https://staging.dresa.org.au/events/surveying-with-qualtrics-at-uts-online-904b1432-f6b1-4370-9112-c847b6abe592 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). 2025-03-26 09:30:00 UTC 2025-03-26 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

    26 - 27 March 2025

    Introduction to Machine Learning using Python: Introduction & Linear Regression at UNSW Online https://staging.dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unsw-online-3dc9f0f3-f5c8-4d64-bd82-f995484af61d Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either \Learn to Program: Python\ and \Data Manipulation in Python\ or \Learn to Program: Python\ and \Data Manipulation and Visualisation in Python\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2025-03-26 09:30:00 UTC 2025-03-27 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at LTU Online

    26 - 27 March 2025

    Learn to Program: Python at LTU Online https://staging.dresa.org.au/events/learn-to-program-python-at-ltu-online-9076185f-b919-403d-8da1-c500d4c72610 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). 2025-03-26 09:30:00 UTC 2025-03-27 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at UOA Online

    26 - 27 March 2025

    Data Entry and Processing in SPSS at UOA Online https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-at-uoa-online-4e2cbfb8-f025-4183-a4d2-b8a1d34fb112 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: Navigate the SPSS working environment Prepare data files and define variables Enter data in SPSS and Import data from Excel Perform data screening Compose SPSS Syntax for data processing Obtain descriptive statistics, create graphs & assess normality Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/spss101). 2025-03-26 09:30:00 UTC 2025-03-27 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at UniSA (online)

    26 - 27 March 2025

    Learn to Program: R at UniSA (online) https://staging.dresa.org.au/events/learn-to-program-r-at-unisa-online-66fb2cd3-d2d8-49ca-9580-41ff104f8cb1 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). 2025-03-26 13:00:00 UTC 2025-03-27 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in R at DU Online

    27 - 28 March 2025

    Data Manipulation and Visualisation in R at DU Online https://staging.dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-du-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: DataFrame Manipulation using the dplyr package DataFrame Transformation using the tidyr package Using the Grammar of Graphics to convert data into figures using the ggplot2 package Configuring plot elements within ggplot2 Exploring different types of plots using ggplot2 #### Prerequisites: Either \Learn to Program: R\ or \Learn to Program: R\ and \R for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: R\ and \R for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/r203). 2025-03-27 09:30:00 UTC 2025-03-28 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using Python: Classification at UNSW Online

    2 - 3 April 2025

    Introduction to Machine Learning using Python: Classification at UNSW Online https://staging.dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-unsw-online-6899e761-91c2-41b1-b74a-02f5ecc85166 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: Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. #### Prerequisites: Either \Learn to Program: Python\, \Data Manipulation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ or \Learn to Program: Python\, \Data Manipulation and Visualisation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python206). 2025-04-02 09:30:00 UTC 2025-04-03 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at LTU Online

    2 - 3 April 2025

    Data Entry and Processing in SPSS at LTU Online https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-at-ltu-online-6d281d8b-cdbb-4854-9218-0b15cf433d23 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: Navigate the SPSS working environment Prepare data files and define variables Enter data in SPSS and Import data from Excel Perform data screening Compose SPSS Syntax for data processing Obtain descriptive statistics, create graphs & assess normality Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. For more information, please click [here](https://intersect.org.au/training/course/spss101). 2025-04-02 10:00:00 UTC 2025-04-03 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at DU Online

    10 - 11 April 2025

    Excel for Researchers at DU Online https://staging.dresa.org.au/events/excel-for-researchers-at-du-online Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: 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). 2025-04-10 09:30:00 UTC 2025-04-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Databases and SQL at DPE Online

    10 April 2025

    Databases and SQL at DPE Online https://staging.dresa.org.au/events/databases-and-sql-at-dpe-online A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data. Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power. Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Understand and compose a query using SQL Use the SQL syntax to select, sort and filter data Calculate new values from existing data Aggregate data into sums, averages, and other operations Combine data from multiple tables Design and build your own relational databases #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/sql101). 2025-04-10 13:30:00 UTC 2025-04-10 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at UOA Online

    11 April 2025

    Data Capture and Surveys with REDCap at UOA Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uoa-online-faf81d17-23ba-4096-b776-ca4b72f28345 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). 2025-04-11 09:30:00 UTC 2025-04-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at UOA Online

    16 - 17 April 2025

    Learn to Program: R at UOA Online https://staging.dresa.org.au/events/learn-to-program-r-at-uoa-online-6ea09756-f8b1-4f39-a653-2a7a082c148c 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). 2025-04-16 09:30:00 UTC 2025-04-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at DU Online

    17 April 2025

    Getting started with NVivo for Windows at DU Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-du-online-3ddd1d22-00c4-480e-a5c4-c775a20a56cd 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 NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. For more information, please click [here](https://intersect.org.au/training/course/nvivo101). 2025-04-17 09:30:00 UTC 2025-04-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting started with HPC using PBS Pro at UniSA (online)

    17 April 2025

    Getting started with HPC using PBS Pro at UniSA (online) https://staging.dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-unisa-online-dad5839b-0b60-4c81-a89e-5379b9e2c0e2 Is your computer’s limited power throttling your research ambitions? Are your analysis scripts pushing your laptop’s processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: Connect to an HPC cluster Use the Unix command line to operate a remote computer and create job scripts Submit and manage jobs on a cluster using a scheduler Transfer files to and from a remote computer Use software through environment modules Use parallelisation to speed up data analysis Access the facilities available to you as a researcher This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our \Unix Shell and Command Line Basics\ course. For more information, please click [here](https://intersect.org.au/training/course/hpc201). 2025-04-17 13:00:00 UTC 2025-04-17 16:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Beyond Basics: Conditionals and Visualisation in Excel at LTU Online

    19 April 2025

    Beyond Basics: Conditionals and Visualisation in Excel at LTU Online https://staging.dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-ltu-online After cleaning your database, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project. #### You'll learn: Cell syntax and conditional formatting IF functions Pivot Table summaries Nesting multiple AND/IF/OR calculations Combining nested calculations with conditional formatting to bring out important elements of the dataset MINIFS function Box plot creation and outlier identification Trendline and error bar chart enhancements #### Prerequisites: Familiarity with the content of Excel for Researchers, specifically:  the general Office/Excel interface (menus, ribbons/toolbars, etc.) workbooks and worksheets absolute and relative references, e.g. $A$1, A1. simple ranges, e.g. A1:B5 For more information, please click [here](https://intersect.org.au/training/course/excel201). 2025-04-19 10:00:00 UTC 2025-04-19 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at ACU

    23 - 24 April 2025

    Learn to Program: Python at ACU https://staging.dresa.org.au/events/learn-to-program-python-at-acu-c236b4ad-b5fb-4d4b-afd6-f00ecb3fbc63 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). 2025-04-23 09:30:00 UTC 2025-04-24 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    23 - 24 April 2025

    Learn to Program: Python at UC Online https://staging.dresa.org.au/events/learn-to-program-python-at-uc-online-11fa8ad6-f18e-498c-bdef-d94db3357f6f 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). 2025-04-23 09:30:00 UTC 2025-04-24 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at UOA Online

    23 April 2025

    Unix Shell and Command Line Basics at UOA Online https://staging.dresa.org.au/events/unix-shell-and-command-line-basics-at-uoa-online-1d0188ae-7db2-4b59-b7a9-25f328df82aa The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you’ll learn at this course are generally transferable to other Unix environments. #### You'll learn: Navigate and work with files and directories (folders) Use a selection of essential tools Combine data and tools to build a processing workflow Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/unix101). 2025-04-23 09:30:00 UTC 2025-04-23 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

    23 April 2025

    Data Capture and Surveys with REDCap at LTU Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-a7bb70c3-2a0f-4f5c-829a-d22015dffcd1 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). 2025-04-23 10:00:00 UTC 2025-04-23 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python at ACU

    30 April - 1 May 2025

    Data Manipulation and Visualisation in Python at ACU https://staging.dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-acu-62c9aa42-27e0-4737-99a0-97c72bab40f5 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Working with pandas DataFrames Indexing, slicing and subsetting in pandas DataFrames Missing data values Combine multiple pandas DataFrames Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn #### Prerequisites: Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. For more information, please click [here](https://intersect.org.au/training/course/python203). 2025-04-30 09:30:00 UTC 2025-05-01 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Getting Started with NVivo for Mac at UniSA (online)

    30 April 2025

    Getting Started with NVivo for Mac at UniSA (online) https://staging.dresa.org.au/events/getting-started-with-nvivo-for-mac-at-unisa-online-e9ff3820-c544-44f2-b32e-03a82310bb44 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 NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. For more information, please click [here](https://intersect.org.au/training/course/nvivo102). 2025-04-30 09:30:00 UTC 2025-04-30 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

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