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166 events found
  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping
  • Learn to Program: Python at UTS Online

    29 February - 1 March 2024

    Learn to Program: Python at UTS Online https://dresa.org.au/events/learn-to-program-python-at-uts-online-dc5eadb4-7c1c-4425-a8fc-5e43fe810399 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).** 2024-02-29 09:30:00 UTC 2024-03-01 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at Western Sydney: Online

    29 February - 1 March 2024

    Excel for Researchers at Western Sydney: Online https://dresa.org.au/events/excel-for-researchers-at-western-sydney-online-0a179415-9caa-4b75-b810-253f302a43f5 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-02-29 09:30:00 UTC 2024-03-01 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    4 - 7 March 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cd396072-25a5-4a98-a938-ad24a1f800f9 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. 2024-03-04 09:00:00 UTC 2024-03-07 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • REDCap 101: Getting Started with REDCap

    5 March 2024

    REDCap 101: Getting Started with REDCap https://dresa.org.au/events/redcap-101-getting-started-with-redcap-1b17087d-0834-4423-9744-452ce3e9e2b2 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-03-05 09:00:00 UTC 2024-03-05 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Learn to Program: Python at UNSW Online

    5 - 6 March 2024

    Learn to Program: Python at UNSW Online https://dresa.org.au/events/learn-to-program-python-at-unsw-online-7aa4a076-359e-483a-850f-0c3c2d5515bd 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).** 2024-03-05 09:30:00 UTC 2024-03-06 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation and Visualisation in Python at Deakin Online

    5 - 6 March 2024

    Data Manipulation and Visualisation in Python at Deakin Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-deakin-online-5c370e79-c5e3-47de-948e-9b0cd4bfd674 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-03-05 09:30:00 UTC 2024-03-06 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at La Trobe Online

    5 - 6 March 2024

    Learn to Program: R at La Trobe Online https://dresa.org.au/events/learn-to-program-r-at-la-trobe-online-18a778bc-0671-439b-ab0b-70acc87f10e9 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-05 10:00:00 UTC 2024-03-06 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UniSA

    5 - 6 March 2024

    Excel for Researchers at UniSA https://dresa.org.au/events/excel-for-researchers-at-unisa-81a57509-2de7-4816-a219-df26475d64db Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-03-05 13:00:00 UTC 2024-03-06 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UniSA Online

    5 - 6 March 2024

    Excel for Researchers at UniSA Online https://dresa.org.au/events/excel-for-researchers-at-unisa-online-9e2f6d21-9678-4700-a50e-328ac3cf4ab0 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-03-05 13:00:00 UTC 2024-03-06 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Beyond Basics: Conditionals and Visualisation in Excel at UNE Online

    7 March 2024

    Beyond Basics: Conditionals and Visualisation in Excel at UNE Online https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-une-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).** 2024-03-07 09:30:00 UTC 2024-03-07 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Beyond Basics: Conditionals and Visualisation in Excel at UTS Online

    7 March 2024

    Beyond Basics: Conditionals and Visualisation in Excel at UTS Online https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-uts-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).** 2024-03-07 09:30:00 UTC 2024-03-07 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UOA Online

    7 - 8 March 2024

    Learn to Program: Python at UOA Online https://dresa.org.au/events/learn-to-program-python-at-uoa-online-8f7ae85e-eb4e-410b-a407-a2345581c559 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).** 2024-03-07 09:30:00 UTC 2024-03-08 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Beyond Basics: Conditionals and Visualisation in Excel at ACU

    7 March 2024

    Beyond Basics: Conditionals and Visualisation in Excel at ACU https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-acu After cleaning your database, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel's diverse functionality and apply it to your research project. #### You'll learn: - Cell syntax and conditional formatting - IF functions - Pivot Table summaries - Nesting multiple AND/IF/OR calculations - Combining nested calculations with conditional formatting to bring out important elements of the dataset - MINIFS function - Box plot creation and outlier identification - Trendline and error bar chart enhancements #### Prerequisites: Familiarity with the content of Excel for Researchers, specifically: the general Office/Excel interface (menus, ribbons/toolbars, etc.) workbooks and worksheets absolute and relative references, e.g. $A$1, A1. simple ranges, e.g. A1:B5 **For more information, please click [here](https://intersect.org.au/training/course/excel201).** 2024-03-07 10:00:00 UTC 2024-03-07 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Language Data Commons of Australia - Co-Design Workshops

    7 March 2024

    Language Data Commons of Australia - Co-Design Workshops https://dresa.org.au/events/language-data-commons-of-australia-co-design-workshops-a31ea559-16ba-406b-8ba7-e3b21353a68a Join us to co-design the national research infrastructure program creating a Language Data Commons of Australia. 2024-03-07 13:00:00 UTC 2024-03-07 15:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Other
  • Surveying with Qualtrics at Western Sydney: Online

    8 March 2024

    Surveying with Qualtrics at Western Sydney: Online https://dresa.org.au/events/surveying-with-qualtrics-at-western-sydney-online-a7879aca-f519-49a0-9d9b-85368f14e48d 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).** 2024-03-08 09:30:00 UTC 2024-03-08 12:45:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to SPSS

    11 - 12 March 2024

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-3a52d2f5-7b19-4be3-aca1-69d8a99677d5 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2024-03-11 09:00:00 UTC 2024-03-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • REDCap 102: Building Projects in REDCap

    12 March 2024

    REDCap 102: Building Projects in REDCap https://dresa.org.au/events/redcap-102-building-projects-in-redcap REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-03-12 09:00:00 UTC 2024-03-12 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Learn to Program: R at ACU

    12 - 13 March 2024

    Learn to Program: R at ACU https://dresa.org.au/events/learn-to-program-r-at-acu R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-12 09:30:00 UTC 2024-03-13 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share

    12 March 2024

    WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share https://dresa.org.au/events/webinar-scaling-up-bioinformatics-with-ables-the-australian-biocommons-leadership-share The[ Australian BioCommons Leadership Share (ABLeS)](https://www.biocommons.org.au/ables) supports access to, and efficient use of, national computational systems for big-data bioinformatics. Designed for established life sciences projects, groups, institutes and consortia, ABLeS can be used to facilitate software optimisation and scaling, implementation of optimised software for production analyses, and creation of reference data. This webinar highlights how ABLeS is being used by life science communities across Australia to access and leverage bioinformatics at scale. We’ll explain the structure of the ABLeS program and how your life science community can get involved, as well as providing a breakdown of the program expectations and the support available from the BioCommons and our partners. Community members making use of ABLeS will share their perspective on the program, and the research outcomes that have resulted. _ABLeS is supported by the Australian BioCommons in partnership with Bioplatforms Australia, the National Computational Infrastructure, and the Pawsey Supercomputing Centre._ **Speakers:** BioCommons: 1. Dr Steven Manos 2. Dr Johan Gustafsson 3. Dr Ziad Al Bkhetan ABLeS users: 1. Dr Hardip Patel, National Centre for Indigenous Genomics John Curtin School of Medical Research Australian National University 2. Chelsea Mayoh, Zero Childhood Cancer, Children's Cancer Institute 3. Theodore Allnutt, Royal Botanic Gardens Victoria **Date/Time:** Tuesday 12 March 2024, 12-1pm AEDT/ 11am - 12pm AEST / 11:30am - 12:30 pm ACDT / 9 - 10am AWST **Who the webinar is for:** This webinar is for life scientists, bioinformaticians and other members of life science communities who are seeking access to computational infrastructure and resources to support their work. **How to join:** This webinar is free to join but you must[ register for a place in advance](https://unimelb.zoom.us/webinar/register/WN_udluIT-oQYWh08K6c-zPEg). A recording of this webinar will be shared on the Australian BioCommons YouTube Channel. 2024-03-12 12:00:00 UTC 2024-03-12 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all BioinformaticsComputational biology
  • Learn to Program: R at UNE Online

    12 - 13 March 2024

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-62f06e2c-c65b-4ab5-9dc8-3d65ce3b0d59 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-12 13:00:00 UTC 2024-03-13 16:00:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Surveying with Qualtrics at UniSA

    12 March 2024

    Surveying with Qualtrics at UniSA https://dresa.org.au/events/surveying-with-qualtrics-at-unisa-b83e4980-d7e1-4f29-be44-6610f0590739 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).** 2024-03-12 13:00:00 UTC 2024-03-12 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Surveying with Qualtrics at UniSA Online

    12 March 2024

    Surveying with Qualtrics at UniSA Online https://dresa.org.au/events/surveying-with-qualtrics-at-unisa-online-864ce178-f642-4470-bc26-f13cd50de0cc 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).** 2024-03-12 13:00:00 UTC 2024-03-12 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Statistical Comparisons Using R

    13 - 14 March 2024

    Statistical Comparisons Using R https://dresa.org.au/events/statistical-comparisons-using-r-44dae5e6-9666-489f-b0a2-9e48507bfc77 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-03-13 09:00:00 UTC 2024-03-14 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Longitudinal Trials with REDCap at UC Online

    13 March 2024

    Longitudinal Trials with REDCap at UC Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-uc-online-f5ad16b7-74b6-4e14-9808-8b53ff86b914 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2024-03-13 09:30:00 UTC 2024-03-13 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at Deakin Online

    13 - 14 March 2024

    Learn to Program: R at Deakin Online https://dresa.org.au/events/learn-to-program-r-at-deakin-online-3ec03bdd-2025-4656-a21c-16298c44e211 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-13 09:30:00 UTC 2024-03-14 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UniSA

    13 - 14 March 2024

    Learn to Program: Python at UniSA https://dresa.org.au/events/learn-to-program-python-at-unisa 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).** 2024-03-13 09:30:00 UTC 2024-03-14 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UniSA Online

    13 - 14 March 2024

    Learn to Program: Python at UniSA Online https://dresa.org.au/events/learn-to-program-python-at-unisa-online-9fdf9b8f-f99b-44a7-90fa-d22378b33f52 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).** 2024-03-13 09:30:00 UTC 2024-03-14 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation and Visualisation in Python at UTS Online

    14 - 15 March 2024

    Data Manipulation and Visualisation in Python at UTS Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-uts-online-968cffd3-e660-4c72-b77d-cd4bd5f4cf37 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-03-14 09:30:00 UTC 2024-03-15 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Introduction to NGS and Bioinformatics Analysis

    15 March 2024

    Introduction to NGS and Bioinformatics Analysis https://dresa.org.au/events/introduction-to-ngs-and-bioinformatics-analysis This hands-on practical workshop is an introduction to next generation sequencing technologies and how they work, providers, common bioinformatics workflows, standardised file types, quality control and an introduction to Galaxy Australia. No prior experience of using Galaxy is required. 2024-03-15 09:00:00 UTC 2024-03-15 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping
  • Learn to Program: Python at UTS Online

    29 February - 1 March 2024

    Learn to Program: Python at UTS Online https://dresa.org.au/events/learn-to-program-python-at-uts-online-dc5eadb4-7c1c-4425-a8fc-5e43fe810399 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).** 2024-02-29 09:30:00 UTC 2024-03-01 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at Western Sydney: Online

    29 February - 1 March 2024

    Excel for Researchers at Western Sydney: Online https://dresa.org.au/events/excel-for-researchers-at-western-sydney-online-0a179415-9caa-4b75-b810-253f302a43f5 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-02-29 09:30:00 UTC 2024-03-01 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    4 - 7 March 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cd396072-25a5-4a98-a938-ad24a1f800f9 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. 2024-03-04 09:00:00 UTC 2024-03-07 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • REDCap 101: Getting Started with REDCap

    5 March 2024

    REDCap 101: Getting Started with REDCap https://dresa.org.au/events/redcap-101-getting-started-with-redcap-1b17087d-0834-4423-9744-452ce3e9e2b2 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-03-05 09:00:00 UTC 2024-03-05 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Learn to Program: Python at UNSW Online

    5 - 6 March 2024

    Learn to Program: Python at UNSW Online https://dresa.org.au/events/learn-to-program-python-at-unsw-online-7aa4a076-359e-483a-850f-0c3c2d5515bd 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).** 2024-03-05 09:30:00 UTC 2024-03-06 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation and Visualisation in Python at Deakin Online

    5 - 6 March 2024

    Data Manipulation and Visualisation in Python at Deakin Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-deakin-online-5c370e79-c5e3-47de-948e-9b0cd4bfd674 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-03-05 09:30:00 UTC 2024-03-06 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at La Trobe Online

    5 - 6 March 2024

    Learn to Program: R at La Trobe Online https://dresa.org.au/events/learn-to-program-r-at-la-trobe-online-18a778bc-0671-439b-ab0b-70acc87f10e9 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-05 10:00:00 UTC 2024-03-06 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UniSA

    5 - 6 March 2024

    Excel for Researchers at UniSA https://dresa.org.au/events/excel-for-researchers-at-unisa-81a57509-2de7-4816-a219-df26475d64db Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-03-05 13:00:00 UTC 2024-03-06 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UniSA Online

    5 - 6 March 2024

    Excel for Researchers at UniSA Online https://dresa.org.au/events/excel-for-researchers-at-unisa-online-9e2f6d21-9678-4700-a50e-328ac3cf4ab0 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-03-05 13:00:00 UTC 2024-03-06 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Beyond Basics: Conditionals and Visualisation in Excel at UNE Online

    7 March 2024

    Beyond Basics: Conditionals and Visualisation in Excel at UNE Online https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-une-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).** 2024-03-07 09:30:00 UTC 2024-03-07 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Beyond Basics: Conditionals and Visualisation in Excel at UTS Online

    7 March 2024

    Beyond Basics: Conditionals and Visualisation in Excel at UTS Online https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-uts-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).** 2024-03-07 09:30:00 UTC 2024-03-07 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UOA Online

    7 - 8 March 2024

    Learn to Program: Python at UOA Online https://dresa.org.au/events/learn-to-program-python-at-uoa-online-8f7ae85e-eb4e-410b-a407-a2345581c559 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).** 2024-03-07 09:30:00 UTC 2024-03-08 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Beyond Basics: Conditionals and Visualisation in Excel at ACU

    7 March 2024

    Beyond Basics: Conditionals and Visualisation in Excel at ACU https://dresa.org.au/events/beyond-basics-conditionals-and-visualisation-in-excel-at-acu After cleaning your database, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel's diverse functionality and apply it to your research project. #### You'll learn: - Cell syntax and conditional formatting - IF functions - Pivot Table summaries - Nesting multiple AND/IF/OR calculations - Combining nested calculations with conditional formatting to bring out important elements of the dataset - MINIFS function - Box plot creation and outlier identification - Trendline and error bar chart enhancements #### Prerequisites: Familiarity with the content of Excel for Researchers, specifically: the general Office/Excel interface (menus, ribbons/toolbars, etc.) workbooks and worksheets absolute and relative references, e.g. $A$1, A1. simple ranges, e.g. A1:B5 **For more information, please click [here](https://intersect.org.au/training/course/excel201).** 2024-03-07 10:00:00 UTC 2024-03-07 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Language Data Commons of Australia - Co-Design Workshops

    7 March 2024

    Language Data Commons of Australia - Co-Design Workshops https://dresa.org.au/events/language-data-commons-of-australia-co-design-workshops-a31ea559-16ba-406b-8ba7-e3b21353a68a Join us to co-design the national research infrastructure program creating a Language Data Commons of Australia. 2024-03-07 13:00:00 UTC 2024-03-07 15:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Other
  • Surveying with Qualtrics at Western Sydney: Online

    8 March 2024

    Surveying with Qualtrics at Western Sydney: Online https://dresa.org.au/events/surveying-with-qualtrics-at-western-sydney-online-a7879aca-f519-49a0-9d9b-85368f14e48d 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).** 2024-03-08 09:30:00 UTC 2024-03-08 12:45:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to SPSS

    11 - 12 March 2024

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-3a52d2f5-7b19-4be3-aca1-69d8a99677d5 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2024-03-11 09:00:00 UTC 2024-03-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • REDCap 102: Building Projects in REDCap

    12 March 2024

    REDCap 102: Building Projects in REDCap https://dresa.org.au/events/redcap-102-building-projects-in-redcap REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-03-12 09:00:00 UTC 2024-03-12 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Learn to Program: R at ACU

    12 - 13 March 2024

    Learn to Program: R at ACU https://dresa.org.au/events/learn-to-program-r-at-acu R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-12 09:30:00 UTC 2024-03-13 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share

    12 March 2024

    WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share https://dresa.org.au/events/webinar-scaling-up-bioinformatics-with-ables-the-australian-biocommons-leadership-share The[ Australian BioCommons Leadership Share (ABLeS)](https://www.biocommons.org.au/ables) supports access to, and efficient use of, national computational systems for big-data bioinformatics. Designed for established life sciences projects, groups, institutes and consortia, ABLeS can be used to facilitate software optimisation and scaling, implementation of optimised software for production analyses, and creation of reference data. This webinar highlights how ABLeS is being used by life science communities across Australia to access and leverage bioinformatics at scale. We’ll explain the structure of the ABLeS program and how your life science community can get involved, as well as providing a breakdown of the program expectations and the support available from the BioCommons and our partners. Community members making use of ABLeS will share their perspective on the program, and the research outcomes that have resulted. _ABLeS is supported by the Australian BioCommons in partnership with Bioplatforms Australia, the National Computational Infrastructure, and the Pawsey Supercomputing Centre._ **Speakers:** BioCommons: 1. Dr Steven Manos 2. Dr Johan Gustafsson 3. Dr Ziad Al Bkhetan ABLeS users: 1. Dr Hardip Patel, National Centre for Indigenous Genomics John Curtin School of Medical Research Australian National University 2. Chelsea Mayoh, Zero Childhood Cancer, Children's Cancer Institute 3. Theodore Allnutt, Royal Botanic Gardens Victoria **Date/Time:** Tuesday 12 March 2024, 12-1pm AEDT/ 11am - 12pm AEST / 11:30am - 12:30 pm ACDT / 9 - 10am AWST **Who the webinar is for:** This webinar is for life scientists, bioinformaticians and other members of life science communities who are seeking access to computational infrastructure and resources to support their work. **How to join:** This webinar is free to join but you must[ register for a place in advance](https://unimelb.zoom.us/webinar/register/WN_udluIT-oQYWh08K6c-zPEg). A recording of this webinar will be shared on the Australian BioCommons YouTube Channel. 2024-03-12 12:00:00 UTC 2024-03-12 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all BioinformaticsComputational biology
  • Learn to Program: R at UNE Online

    12 - 13 March 2024

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-62f06e2c-c65b-4ab5-9dc8-3d65ce3b0d59 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-12 13:00:00 UTC 2024-03-13 16:00:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Surveying with Qualtrics at UniSA

    12 March 2024

    Surveying with Qualtrics at UniSA https://dresa.org.au/events/surveying-with-qualtrics-at-unisa-b83e4980-d7e1-4f29-be44-6610f0590739 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).** 2024-03-12 13:00:00 UTC 2024-03-12 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Surveying with Qualtrics at UniSA Online

    12 March 2024

    Surveying with Qualtrics at UniSA Online https://dresa.org.au/events/surveying-with-qualtrics-at-unisa-online-864ce178-f642-4470-bc26-f13cd50de0cc 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).** 2024-03-12 13:00:00 UTC 2024-03-12 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Statistical Comparisons Using R

    13 - 14 March 2024

    Statistical Comparisons Using R https://dresa.org.au/events/statistical-comparisons-using-r-44dae5e6-9666-489f-b0a2-9e48507bfc77 This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2024-03-13 09:00:00 UTC 2024-03-14 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Longitudinal Trials with REDCap at UC Online

    13 March 2024

    Longitudinal Trials with REDCap at UC Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-uc-online-f5ad16b7-74b6-4e14-9808-8b53ff86b914 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2024-03-13 09:30:00 UTC 2024-03-13 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at Deakin Online

    13 - 14 March 2024

    Learn to Program: R at Deakin Online https://dresa.org.au/events/learn-to-program-r-at-deakin-online-3ec03bdd-2025-4656-a21c-16298c44e211 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-03-13 09:30:00 UTC 2024-03-14 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UniSA

    13 - 14 March 2024

    Learn to Program: Python at UniSA https://dresa.org.au/events/learn-to-program-python-at-unisa 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).** 2024-03-13 09:30:00 UTC 2024-03-14 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UniSA Online

    13 - 14 March 2024

    Learn to Program: Python at UniSA Online https://dresa.org.au/events/learn-to-program-python-at-unisa-online-9fdf9b8f-f99b-44a7-90fa-d22378b33f52 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).** 2024-03-13 09:30:00 UTC 2024-03-14 12:30:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Data Manipulation and Visualisation in Python at UTS Online

    14 - 15 March 2024

    Data Manipulation and Visualisation in Python at UTS Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-uts-online-968cffd3-e660-4c72-b77d-cd4bd5f4cf37 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-03-14 09:30:00 UTC 2024-03-15 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Introduction to NGS and Bioinformatics Analysis

    15 March 2024

    Introduction to NGS and Bioinformatics Analysis https://dresa.org.au/events/introduction-to-ngs-and-bioinformatics-analysis This hands-on practical workshop is an introduction to next generation sequencing technologies and how they work, providers, common bioinformatics workflows, standardised file types, quality control and an introduction to Galaxy Australia. No prior experience of using Galaxy is required. 2024-03-15 09:00:00 UTC 2024-03-15 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

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