[{"id":1119,"external_id":null,"title":"Learn to Program: R at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in.  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n 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.\n\n#### You'll learn:\n\nIntroduction to the RStudio interface for programming  \n Basic syntax and data types in R  \n How to load external data into R  \n Creating functions (FUNCTIONS)  \n Repeating actions and analysing multiple data sets (LOOPS)  \n Making choices (IF STATEMENTS – CONDITIONALS)  \n Ways to visualise data in R\n\n#### Prerequisites:\n\nNo prior experience with programming needed to attend this course.  \n  \n 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\\.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r101).","start":"2025-05-13T10:00:00.000Z","end":"2025-05-14T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:25.784Z","updated_at":"2025-01-20T14:01:07.919Z","source":"tess","slug":"learn-to-program-r-at-ltu-online-8e1ff09e-d0e0-406d-a347-10595ac022d6","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":740,"external_id":null,"title":"Introduction to Machine Learning using R: Classification at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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 R programming language and its scientific computing packages.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use R and its relevant packages to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\n\\\\Either \\Learn to Program: R\\ and \\Data Manipulation in R\\ or \\Learn to Program: R\\ and \\Data Manipulation and Visualisation in R\\needed to attend this course. If you already have experience with programming, please check the topics covered in courses above and \\Introduction to ML using R: Introduction \u0026amp; Linear Regression\\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning 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.\\\\\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r206).","start":"2025-05-14T10:00:00.000Z","end":"2025-05-15T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:04.389Z","updated_at":"2024-07-31T14:00:28.194Z","source":"tess","slug":"introduction-to-machine-learning-using-r-classification-at-ltu-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":788,"external_id":null,"title":"Learn to Program: Python at DPE Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.  \n  \n 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.\n\n#### You'll learn:\n\nIntroduction to the JupyterLab interface for programming  \n Basic syntax and data types in Python  \n How to load external data into Python  \n Creating functions (FUNCTIONS)  \n Repeating actions and analysing multiple data sets (LOOPS)  \n Making choices (IF STATEMENTS – CONDITIONALS)  \n Ways to visualise data in Python\n\n#### Prerequisites:\n\nNo prior experience with programming is needed to attend this course.  \n  \n 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/).\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python101).","start":"2025-05-15T09:30:00.000Z","end":"2025-05-16T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:35.246Z","updated_at":"2024-07-31T14:00:46.611Z","source":"tess","slug":"learn-to-program-python-at-dpe-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":791,"external_id":null,"title":"Surveying with Qualtrics at UC Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics?  \n  \n 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.  \n  \n If your institution has a licence to Qualtrics, then this course is right for you.\n\n#### You'll learn:\n\nFormat a sample survey using the Qualtrics online platform  \n Configure the survey using a range of design features to improve user experience  \n Decide which distribution channel is right for your needs  \n Understand the available data analysis and export options in Qualtrics\n\n#### Prerequisites:\n\nYou 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/qltrics101).","start":"2025-05-16T09:30:00.000Z","end":"2025-05-16T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:36.580Z","updated_at":"2024-07-31T14:00:49.818Z","source":"tess","slug":"surveying-with-qualtrics-at-uc-online-b4f409ab-b6e0-48ae-8184-ebd2ae9fe1c3","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1164,"external_id":null,"title":"Introduction to Research Data Management at WSU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how?  \n  \n This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.\n\n#### You'll learn:\n\nHow to manage research data according to legal, statutory, ethical, funding body and university requirements  \n Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data  \n Services supporting research data at your institution\n\n#### Prerequisites:\n\nThe course has no prerequisites.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/rdmt001).","start":"2025-05-16T10:00:00.000Z","end":"2025-05-16T12:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-14T14:00:20.793Z","updated_at":"2025-01-20T14:01:11.120Z","source":"tess","slug":"introduction-to-research-data-management-at-wsu-online-7613ee82-8a57-4b16-bf5b-bdfb22a4b009","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":793,"external_id":null,"title":"Data Manipulation and Visualisation in R at UOA Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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).  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n 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.\n\n#### You'll learn:\n\nDataFrame Manipulation using the dplyr package  \n DataFrame Transformation using the tidyr package  \n Using the Grammar of Graphics to convert data into figures using the ggplot2 package  \n Configuring plot elements within ggplot2  \n Exploring different types of plots using ggplot2\n\n#### Prerequisites:\n\nEither \\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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r203).","start":"2025-05-16T14:00:00.000Z","end":"2025-05-17T17:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:36.775Z","updated_at":"2024-07-31T14:00:50.623Z","source":"tess","slug":"data-manipulation-and-visualisation-in-r-at-uoa-online-fff73c36-3909-487a-a516-51db9a605f30","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1137,"external_id":null,"title":"Introduction to Excel for Researchers at ACU","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.\n\n#### You'll learn:\n\n‘Clean up’ messy research data  \n Organise, format and name your data  \n Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)  \n Perform calculations on your data using functions (MAX, MIN, AVERAGE)  \n Extract significant findings from your data (PIVOT TABLE, VLOOKUP)  \n Manipulate your data (convert data format, work with DATES and TIMES)  \n Create graphs and charts to visualise your data (CHARTS)  \n Handy tips to speed up your work\n\n#### Prerequisites:\n\nIn 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.  \n  \n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/excel101).","start":"2025-05-20T09:30:00.000Z","end":"2025-05-21T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:28.301Z","updated_at":"2025-01-20T14:01:10.966Z","source":"tess","slug":"introduction-to-excel-for-researchers-at-acu-5d9007d3-9be5-4778-8fd9-912af65a8842","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":739,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use Python and scikit-learn to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\nEither \\Learn to Program: Python\\, \\Data Manipulation in Python\\ and \\Introduction to ML using Python: Introduction \u0026amp; Linear Regression\\ or \\Learn to Program: Python\\, \\Data Manipulation and Visualisation in Python\\ and \\Introduction to ML using Python: Introduction \u0026amp; Linear Regression\\ needed to attend this course.   \n 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.  \n 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python206).","start":"2025-05-21T10:00:00.000Z","end":"2025-05-22T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:03.847Z","updated_at":"2024-07-31T14:00:27.257Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-ltu-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1134,"external_id":null,"title":"Beyond Basics: Conditionals and Visualisation in Excel at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"After cleaning your dataset, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project.\n\n#### You'll learn:\n\n- Cell syntax and conditional formatting\n- IF functions\n- Pivot Table summaries\n- Nesting multiple AND/IF/OR calculations\n- Combining nested calculations with conditional formatting to bring out important elements of the dataset\n- MINIFS function\n- Box plot creation and outlier identification\n- Trendline and error bar chart enhancements\n\n#### Prerequisites:\n\nFamiliarity with the content of Excel for Researchers, specifically: \n\n- the general Office/Excel interface (menus, ribbons/toolbars, etc.)\n- workbooks and worksheets\n- absolute and relative references, e.g. $A$1, A1.\n- simple ranges, e.g. A1:B5\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/excel201).","start":"2025-05-21T10:00:00.000Z","end":"2025-05-21T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:27.903Z","updated_at":"2025-01-20T14:01:10.814Z","source":"tess","slug":"beyond-basics-conditionals-and-visualisation-in-excel-at-ltu-online-a6aae5d5-9278-45c1-9fe4-0117caf5a260","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":780,"external_id":null,"title":"Data Manipulation and Visualisation in Python at DPE Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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).  \n  \n 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.  \n  \n 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.\n\n#### You'll learn:\n\nWorking with pandas DataFrames  \n Indexing, slicing and subsetting in pandas DataFrames  \n Missing data values  \n Combine multiple pandas DataFrames  \n Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries  \n Configuring plot elements within seaborn and matplotlib  \n Exploring different types of plots using seaborn\n\n#### Prerequisites:\n\nEither \\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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python203).","start":"2025-05-22T09:30:00.000Z","end":"2025-05-23T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:30.621Z","updated_at":"2024-07-31T14:00:32.059Z","source":"tess","slug":"data-manipulation-and-visualisation-in-python-at-dpe-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":792,"external_id":null,"title":"Data Capture and Surveys with REDCap at UC Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nGet started with REDCap  \n Create and set up projects  \n Design forms and surveys using the online designer  \n Learn how to use branching logic, piping, and calculations  \n Enter data via forms and distribute surveys  \n Create, view and export data reports  \n Add collaborators and set their privileges\n\n#### Prerequisites:\n\nThe course has no prerequisites.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/redcap101).","start":"2025-05-22T09:30:00.000Z","end":"2025-05-22T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:36.661Z","updated_at":"2024-07-31T14:00:50.323Z","source":"tess","slug":"data-capture-and-surveys-with-redcap-at-uc-online-ea43193d-6d9b-4ecb-9e53-f7cbf2509412","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1139,"external_id":null,"title":"Randomised Controlled Trials with REDCap at ACU","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. In this course, learn how to manage a Randomised Controlled Trial using REDCap, including the randomisation module, adverse event reporting and automated participant withdrawals. This course will introduce some of REDCap’s more advanced features for running randomised trials, and builds on the material taught in REDCAP201 – Longitudinal Trials with REDCap.\n\n#### You'll learn:\n\n- Create Data Access Groups (DAGs) and assign users to manage trial sites\n- Build randomisation allocation table \n- Enable and implement participant randomisation module\n- Design an adverse reporting system using Automated Survey Invitations and Alerts\n- Create an automated participant withdrawal process\n- Customise record dashboards\n\n#### Prerequisites:\n\nLearners should have a solid understanding of REDCap and be familiar with the content of [Data Capture and Surveys with REDCap](https://intersectaustralia.github.io/training/REDCAP101/) and [Longitudinal Trials with REDCap](https://intersectaustralia.github.io/training/REDCAP201/).\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/redcap202).","start":"2025-05-28T09:30:00.000Z","end":"2025-05-28T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:28.556Z","updated_at":"2025-01-20T14:01:11.395Z","source":"tess","slug":"randomised-controlled-trials-with-redcap-at-acu","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":777,"external_id":null,"title":"Introduction to Machine Learning using R: SVM \u0026 Unsupervised Learning at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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 R programming language and its scientific computing packages.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use R and its relevant packages to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\n\\\\Either \\Learn to Program: R\\ and \\Data Manipulation in R\\ or \\Learn to Program: R\\ and \\Data Manipulation and Visualisation in R\\needed to attend this course. If you already have experience with programming, please check the topics covered in the courses above and \\Introduction to ML using R: Introduction \u0026amp; Linear Regression\\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning 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.\\\\\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r207).","start":"2025-05-28T10:00:00.000Z","end":"2025-05-28T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:12.550Z","updated_at":"2024-07-31T14:00:54.947Z","source":"tess","slug":"introduction-to-machine-learning-using-r-svm-unsupervised-learning-at-ltu-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1148,"external_id":null,"title":"Learn to Program: Python at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.  \n  \n 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.\n\n#### You'll learn:\n\nIntroduction to the JupyterLab interface for programming  \n Basic syntax and data types in Python  \n How to load external data into Python  \n Creating functions (FUNCTIONS)  \n Repeating actions and analysing multiple data sets (LOOPS)  \n Making choices (IF STATEMENTS – CONDITIONALS)  \n Ways to visualise data in Python\n\n#### Prerequisites:\n\nNo prior experience with programming is needed to attend this course.  \n  \n 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/).\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python101).","start":"2025-05-28T10:00:00.000Z","end":"2025-05-29T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:29.672Z","updated_at":"2025-01-20T14:01:12.526Z","source":"tess","slug":"learn-to-program-python-at-ltu-online-c6cbcba1-b524-4278-b487-4f2ee8c7db50","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":787,"external_id":null,"title":"Introduction to Machine Learning using Python: Introduction \u0026 Linear Regression at DU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.\n\n#### You'll learn:\n\nUnderstand the difference between supervised and unsupervised Machine Learning.  \n Understand the fundamentals of Machine Learning.  \n Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training.  \n Understand the Machine Learning modelling workflows.  \n Use Python and scikit-learn to process real datasets, train and apply Machine Learning models\n\n#### Prerequisites:\n\nEither \\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.   \n 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.  \n 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python205).","start":"2025-06-04T09:30:00.000Z","end":"2025-06-05T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:35.179Z","updated_at":"2024-07-31T14:00:46.453Z","source":"tess","slug":"introduction-to-machine-learning-using-python-introduction-linear-regression-at-du-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":781,"external_id":null,"title":"Data Manipulation in R at UC Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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).  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n 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.\n\n#### You'll learn:\n\nDataFrame Manipulation using the dplyr package  \n DataFrame Transformation using the tidyr package\n\n#### Prerequisites:\n\nEither \\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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r201).","start":"2025-06-06T09:30:00.000Z","end":"2025-06-06T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:30.675Z","updated_at":"2024-07-31T14:00:32.237Z","source":"tess","slug":"data-manipulation-in-r-at-uc-online-612a8903-ba83-45f8-8ca8-81f4212db0c1","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":778,"external_id":null,"title":"Getting started with NVivo for Windows at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nCreate and organise a qualitative research project in NVivo  \n Import a range of data sources using NVivo’s integrated tools  \n Code and classify your data  \n Format your data to take advantage of NVivo’s auto-coding ability  \n Use NVivo to discover new themes and trends in research  \n Visualise relationships and trends in your data\n\n#### Prerequisites:\n\nIn 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.  \n  \n This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/nvivo101).","start":"2025-06-07T10:00:00.000Z","end":"2025-06-07T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:12.623Z","updated_at":"2024-07-31T14:00:55.247Z","source":"tess","slug":"getting-started-with-nvivo-for-windows-at-ltu-online-f49f7ebf-40cb-47be-b6f8-c988fa4e7c1f","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":783,"external_id":null,"title":"Introduction to Machine Learning using Python: Introduction \u0026 Linear Regression at DPE Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.\n\n#### You'll learn:\n\nUnderstand the difference between supervised and unsupervised Machine Learning.  \n Understand the fundamentals of Machine Learning.  \n Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training.  \n Understand the Machine Learning modelling workflows.  \n Use Python and scikit-learn to process real datasets, train and apply Machine Learning models\n\n#### Prerequisites:\n\nEither \\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.   \n 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.  \n 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python205).","start":"2025-06-11T09:30:00.000Z","end":"2025-06-12T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:31.988Z","updated_at":"2024-07-31T14:00:33.574Z","source":"tess","slug":"introduction-to-machine-learning-using-python-introduction-linear-regression-at-dpe-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":790,"external_id":null,"title":"Learn to Program: R at UTS City campus, Moore Park precinct","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in.  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n 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.\n\n#### You'll learn:\n\nIntroduction to the RStudio interface for programming  \n Basic syntax and data types in R  \n How to load external data into R  \n Creating functions (FUNCTIONS)  \n Repeating actions and analysing multiple data sets (LOOPS)  \n Making choices (IF STATEMENTS – CONDITIONALS)  \n Ways to visualise data in R\n\n#### Prerequisites:\n\nNo prior experience with programming needed to attend this course.  \n  \n 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\\.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r101).","start":"2025-06-11T09:30:00.000Z","end":"2025-06-11T16:30:00.000Z","sponsors":[],"venue":"Rugby Australia Building, Moore Park Rd","city":"Moore Park","country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:36.509Z","updated_at":"2024-07-31T14:00:49.506Z","source":"tess","slug":"learn-to-program-r-at-uts-city-campus-moore-park-precinct","content_provider_id":5,"user_id":43,"online":false,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":905,"external_id":null,"title":"Data Entry and Processing in SPSS at UC Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nNavigate the SPSS working environment  \n Prepare data files and define variables  \n Enter data in SPSS and Import data from Excel  \n Perform data screening  \n Compose SPSS Syntax for data processing  \n Obtain descriptive statistics, create graphs \u0026amp; assess normality  \n Manipulate and transform variables\n\n#### Prerequisites:\n\nIn 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/spss101).","start":"2025-06-11T09:30:00.000Z","end":"2025-06-12T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-30T14:00:35.116Z","updated_at":"2024-07-31T14:00:35.234Z","source":"tess","slug":"data-entry-and-processing-in-spss-at-uc-online-bbaafc46-0282-4408-a11f-47747497656f","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":757,"external_id":null,"title":"Excel for Researchers at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.\n\n#### You'll learn:\n\n‘Clean up’ messy research data  \n Organise, format and name your data  \n Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)  \n Perform calculations on your data using functions (MAX, MIN, AVERAGE)  \n Extract significant findings from your data (PIVOT TABLE, VLOOKUP)  \n Manipulate your data (convert data format, work with DATES and TIMES)  \n Create graphs and charts to visualise your data (CHARTS)  \n Handy tips to speed up your work\n\n#### Prerequisites:\n\nIn 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.  \n  \n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/excel101).","start":"2025-06-11T10:00:00.000Z","end":"2025-06-12T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:10.818Z","updated_at":"2024-07-31T14:00:47.889Z","source":"tess","slug":"excel-for-researchers-at-ltu-online-0ca890e1-e7dc-49a4-8f81-1d3c6e128d2e","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":795,"external_id":null,"title":"Longitudinal Trials with REDCap at DU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nBuild a longitudinal project  \n Manage participants throughout multiple events  \n Configure and use Automated Survey Invitations  \n Use Smart Variables to add powerful features to your logic  \n Take advantage of high-granularity permissions for your collaborators  \n Understand the data structure of a longitudinal project\n\n#### Prerequisites:\n\nThis course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \\Data Capture and Surveys with REDCap\\ workshop.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/redcap201).","start":"2025-06-12T09:30:00.000Z","end":"2025-06-12T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:37.079Z","updated_at":"2024-07-31T14:00:51.777Z","source":"tess","slug":"longitudinal-trials-with-redcap-at-du-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1129,"external_id":null,"title":"Getting Started with NVivo for Mac at ACU","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nCreate and organise a qualitative research project in NVivo  \n Import a range of data sources using NVivo’s integrated tools  \n Code and classify your data  \n Format your data to take advantage of NVivo’s auto-coding ability  \n Use NVivo to discover new themes and trends in research  \n Visualise relationships and trends in your data\n\n#### Prerequisites:\n\nIn 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.  \n  \n This course is taught using NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/nvivo102).","start":"2025-06-18T09:30:00.000Z","end":"2025-06-18T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:27.113Z","updated_at":"2025-01-20T14:01:09.776Z","source":"tess","slug":"getting-started-with-nvivo-for-mac-at-acu-e244145d-f693-4f68-b565-8a9048295f0e","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1163,"external_id":null,"title":"Introduction to Research Data Management at WSU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how?  \n  \n This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.\n\n#### You'll learn:\n\nHow to manage research data according to legal, statutory, ethical, funding body and university requirements  \n Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data  \n Services supporting research data at your institution\n\n#### Prerequisites:\n\nThe course has no prerequisites.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/rdmt001).","start":"2025-06-20T10:00:00.000Z","end":"2025-06-20T12:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-14T14:00:19.297Z","updated_at":"2025-01-20T14:01:09.630Z","source":"tess","slug":"introduction-to-research-data-management-at-wsu-online-ea46a838-978b-404c-b960-66fb9089632a","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1130,"external_id":null,"title":"Getting started with NVivo for Windows at ACU","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nCreate and organise a qualitative research project in NVivo  \n Import a range of data sources using NVivo’s integrated tools  \n Code and classify your data  \n Format your data to take advantage of NVivo’s auto-coding ability  \n Use NVivo to discover new themes and trends in research  \n Visualise relationships and trends in your data\n\n#### Prerequisites:\n\nIn 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.  \n  \n This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/nvivo101).","start":"2025-06-24T09:30:00.000Z","end":"2025-06-24T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-07T14:00:27.269Z","updated_at":"2025-01-20T14:01:09.857Z","source":"tess","slug":"getting-started-with-nvivo-for-windows-at-acu-ac15c59d-5459-481b-b391-95efde8a03b4","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2025-01-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":797,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at DU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use Python and scikit-learn to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\nEither \\Learn to Program: Python\\, \\Data Manipulation in Python\\ and \\Introduction to ML using Python: Introduction \u0026amp; Linear Regression\\ or \\Learn to Program: Python\\, \\Data Manipulation and Visualisation in Python\\ and \\Introduction to ML using Python: Introduction \u0026amp; Linear Regression\\ needed to attend this course.   \n 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.  \n 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python206).","start":"2025-06-25T09:30:00.000Z","end":"2025-06-26T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:37.481Z","updated_at":"2024-07-31T14:00:52.708Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-du-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":796,"external_id":null,"title":"Introduction to Machine Learning using Python: SVM \u0026 Unsupervised Learning at DU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use Python and scikit-learn to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\nEither \\Learn to Program: Python\\, \\Data Manipulation in Python\\ and \\Introduction to ML using Python: Introduction \u0026amp; Linear Regression\\ or \\Learn to Program: Python\\, \\Data Manipulation and Visualisation in Python\\ and \\Introduction to ML using Python: Introduction \u0026amp; Linear Regression\\ needed to attend this course.   \n 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.  \n 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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python207).","start":"2025-07-02T09:30:00.000Z","end":"2025-07-02T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:37.319Z","updated_at":"2024-07-31T14:00:52.225Z","source":"tess","slug":"introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-du-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":745,"external_id":null,"title":"Data Capture and Surveys with REDCap at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nGet started with REDCap  \n Create and set up projects  \n Design forms and surveys using the online designer  \n Learn how to use branching logic, piping, and calculations  \n Enter data via forms and distribute surveys  \n Create, view and export data reports  \n Add collaborators and set their privileges\n\n#### Prerequisites:\n\nThe course has no prerequisites.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/redcap101).","start":"2025-07-02T10:00:00.000Z","end":"2025-07-02T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:06.618Z","updated_at":"2024-07-31T14:00:32.744Z","source":"tess","slug":"data-capture-and-surveys-with-redcap-at-ltu-online-630d4057-47c4-4077-a431-d7d18549684c","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":902,"external_id":null,"title":"Exploring Chi-square and correlation in R at UC Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson’s r, Spearman’s Rho and Kendall’s tau) in real world datasets.\n\n#### You'll learn:\n\nObtain inferential statistics and assess data normality  \n Manipulate data and create graphs  \n Perform Chi-Square tests (Goodness of Fit test and Test of Independence)  \n Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau)\n\n#### Prerequisites:\n\nThis course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package).   \n Please consider attending Intersect’s following courses to get up to speed: \\Learn to Program: R\\, \\Data Manipulation and Visualisation in R\\\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r210).","start":"2025-07-04T09:30:00.000Z","end":"2025-07-04T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-30T14:00:29.894Z","updated_at":"2024-07-31T14:00:29.575Z","source":"tess","slug":"exploring-chi-square-and-correlation-in-r-at-uc-online-e42829ce-f307-408b-b067-aea169dc0f30","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":794,"external_id":null,"title":"Data Manipulation and Visualisation in R at UTS City campus, Moore Park precinct","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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).  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n 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.\n\n#### You'll learn:\n\nDataFrame Manipulation using the dplyr package  \n DataFrame Transformation using the tidyr package  \n Using the Grammar of Graphics to convert data into figures using the ggplot2 package  \n Configuring plot elements within ggplot2  \n Exploring different types of plots using ggplot2\n\n#### Prerequisites:\n\nEither \\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.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r203).","start":"2025-07-09T09:30:00.000Z","end":"2025-07-09T16:30:00.000Z","sponsors":[],"venue":"Rugby Australia Building, Moore Park Rd","city":"Moore Park","country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-26T14:00:36.801Z","updated_at":"2024-07-31T14:00:50.696Z","source":"tess","slug":"data-manipulation-and-visualisation-in-r-at-uts-city-campus-moore-park-precinct","content_provider_id":5,"user_id":43,"online":false,"last_scraped":"2024-07-31","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]}]