[{"id":965,"external_id":null,"title":"Data Manipulation and Visualisation in Python at UC 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":"2024-10-23T09:30:00.000Z","end":"2024-10-24T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-01T14:00:25.629Z","updated_at":"2024-10-23T14:00:44.488Z","source":"tess","slug":"data-manipulation-and-visualisation-in-python-at-uc-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-23","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":773,"external_id":null,"title":"Introduction to Machine Learning using Python: Introduction \u0026 Linear Regression at UniSA (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":"2024-10-23T13:00:00.000Z","end":"2024-10-24T16:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:12.381Z","updated_at":"2024-10-23T14:00:44.181Z","source":"tess","slug":"introduction-to-machine-learning-using-python-introduction-linear-regression-at-unisa-online-d70d7830-f03c-40a8-980c-c6a7b801dbda","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-23","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":960,"external_id":null,"title":"Data Manipulation and Visualisation in Python at UTS 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":"2024-10-24T09:30:00.000Z","end":"2024-10-25T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-23T14:02:48.634Z","updated_at":"2024-10-24T14:00:17.655Z","source":"tess","slug":"data-manipulation-and-visualisation-in-python-at-uts-online-6ce6c582-db49-4c7a-bafb-f456d321bbd1","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-24","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":716,"external_id":null,"title":"Exploring Chi-square and correlation in R at UOA 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":"2024-10-25T09:30:00.000Z","end":"2024-10-25T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:43.593Z","updated_at":"2024-10-24T14:00:14.526Z","source":"tess","slug":"exploring-chi-square-and-correlation-in-r-at-uoa-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-24","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":645,"external_id":null,"title":"Introduction to Machine Learning using R: Introduction \u0026 Linear Regression at UNE 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\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 R and 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 to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts and familiarity with dplyr, tidyr and ggplot2 packages.\\\\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/r205).","start":"2024-10-29T09:30:00.000Z","end":"2024-10-30T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-06-26T14:00:35.220Z","updated_at":"2024-10-29T14:00:47.250Z","source":"tess","slug":"introduction-to-machine-learning-using-r-introduction-linear-regression-at-une-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-29","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":947,"external_id":null,"title":"Getting started with HPC using Slurm at DCCEEW Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Is your computer’s limited power throttling your research ambitions? Are your analysis scripts pushing your laptop’s processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free?  \n  \n High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using Slurm.\n\n#### You'll learn:\n\nConnect to an HPC cluster  \n Use the Unix command line to operate a remote computer and create job scripts  \n Submit and manage jobs on a cluster using a scheduler  \n Transfer files to and from a remote computer  \n Use software through environment modules  \n Use parallelisation to speed up data analysis  \n Access the facilities available to you as a researcher  \n  \n This is the Slurm version of the Getting Started with HPC course.\n\n#### Prerequisites:\n\nThis course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our \\Unix Shell and Command Line Basics\\ course.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/hpc202).","start":"2024-10-29T09:30:00.000Z","end":"2024-10-30T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-30T14:00:34.473Z","updated_at":"2024-10-29T14:00:49.067Z","source":"tess","slug":"getting-started-with-hpc-using-slurm-at-dcceew-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-29","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":917,"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":"2024-10-29T10:00:00.000Z","end":"2024-10-30T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-31T14:00:37.128Z","updated_at":"2024-10-29T14:00:45.028Z","source":"tess","slug":"learn-to-program-python-at-ltu-online-6d082342-7bfd-4357-9087-1ab92414c791","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-29","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":717,"external_id":null,"title":"Traversing t tests in R at UOA Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"R has become a popular 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 The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R.\n\n#### You'll learn:\n\nRead in and manipulate data  \n Check assumptions of t tests  \n Perform one-sample t tests  \n Perform two-sample t tests (Independent-samples, Paired-samples)  \n Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test)\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. 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/r211).","start":"2024-10-29T13:30:00.000Z","end":"2024-10-29T16:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:43.662Z","updated_at":"2024-10-28T14:00:38.766Z","source":"tess","slug":"traversing-t-tests-in-r-at-uoa-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-28","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":949,"external_id":null,"title":"Data Capture and Surveys with REDCap at DU 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":"2024-10-30T09:30:00.000Z","end":"2024-10-30T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-05T14:00:34.284Z","updated_at":"2024-10-29T14:00:47.942Z","source":"tess","slug":"data-capture-and-surveys-with-redcap-at-du-online-60a9626c-cb03-4920-bfdb-2da2f506092e","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-29","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":956,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at UC 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":"2024-10-30T09:30:00.000Z","end":"2024-10-31T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-18T14:00:30.745Z","updated_at":"2024-09-30T14:00:28.407Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-uc-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-09-30","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":966,"external_id":null,"title":"Learn to Program: 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 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":"2024-10-30T09:30:00.000Z","end":"2024-10-31T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-01T14:00:25.859Z","updated_at":"2024-10-30T14:00:29.201Z","source":"tess","slug":"learn-to-program-r-at-uc-online-89bbfec2-da75-4f62-b533-ab596a5f5875","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-30","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":761,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at UniSA (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":"2024-10-30T13:00:00.000Z","end":"2024-10-31T16:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:11.726Z","updated_at":"2024-10-30T14:00:27.782Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-unisa-online-39e07da9-fb32-454c-ab5a-d1ec4dfcddc5","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-30","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":962,"external_id":null,"title":"Introduction to Machine Learning using Python: Introduction \u0026 Linear Regression at UTS 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":"2024-10-31T09:30:00.000Z","end":"2024-11-01T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-24T14:00:30.021Z","updated_at":"2024-10-31T14:00:41.104Z","source":"tess","slug":"introduction-to-machine-learning-using-python-introduction-linear-regression-at-uts-online-b1d1c0df-5c40-49d5-bc95-c786d909cdbf","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-31","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":718,"external_id":null,"title":"Exploring ANOVAs 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.This half-day course covers one and two-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R.\n\nANOVA (Analysis of Variance) is a statistical method used to determine whether there are significant differences between the means of three or more groups. It helps analyse the effect of independent variables on a dependent variable by comparing the variance within groups to the variance between groups. ANOVA tests assume normality, homogeneity of variances, and independence of observations, and can be used to explore relationships in datasets, such as how factors like study time or parental education affect student performance.\n\n#### You'll learn:\n\n- Basic statistical theory behind ANOVAs\n- How to check that the data meets the assumptions\n- One-way ANOVA in R and post-hoc analysis\n- Two-way ANOVA plus interaction effects and post-hoc analysis\n- Non-parametric alternatives to one and two-way ANOVA\n\n#### Prerequisites:\n\nThis course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required.  \n  \n If you’re new to programming in R, we strongly recommend you register for the \\Learn to Program: R\\, \\Data Manipulation and Visualisation in R\\ workshops first. \n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r212).","start":"2024-10-31T13:30:00.000Z","end":"2024-10-31T16:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:43.889Z","updated_at":"2024-10-30T14:00:25.585Z","source":"tess","slug":"exploring-anovas-in-r-at-uoa-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-10-30","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":646,"external_id":null,"title":"Learn to Program: Python at UNE 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":"2024-11-05T09:30:00.000Z","end":"2024-11-06T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-06-26T14:00:35.283Z","updated_at":"2024-11-05T14:00:43.398Z","source":"tess","slug":"learn-to-program-python-at-une-online-f399f994-d65c-4648-887c-aac40af83948","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-05","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":921,"external_id":null,"title":"Learn to Program: R at ACU","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":"2024-11-06T09:30:00.000Z","end":"2024-11-07T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-05T14:00:22.347Z","updated_at":"2024-11-06T14:00:12.304Z","source":"tess","slug":"learn-to-program-r-at-acu-f073db1a-a7aa-4c81-8474-a7cc976de88c","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-06","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":951,"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 longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration.  \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":"2024-11-06T09:30:00.000Z","end":"2024-11-06T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-05T14:00:34.722Z","updated_at":"2024-11-05T14:00:45.019Z","source":"tess","slug":"longitudinal-trials-with-redcap-at-du-online-f3386e37-8a76-423d-bb6c-601bb028cb10","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-05","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":954,"external_id":null,"title":"Databases and SQL at UC Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data.  \n  \n Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power.  \n  \n Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.\n\n#### You'll learn:\n\nUnderstand and compose a query using SQL  \n Use the SQL syntax to select, sort and filter data  \n Calculate new values from existing data  \n Aggregate data into sums, averages, and other operations  \n Combine data from multiple tables  \n Design and build your own relational databases\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/sql101).","start":"2024-11-06T09:30:00.000Z","end":"2024-11-06T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-18T14:00:27.527Z","updated_at":"2024-11-05T14:00:41.498Z","source":"tess","slug":"databases-and-sql-at-uc-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-05","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":719,"external_id":null,"title":"Data Manipulation and Visualisation in Python at UOA 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":"2024-11-07T09:30:00.000Z","end":"2024-11-08T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:44.031Z","updated_at":"2024-11-07T14:00:49.651Z","source":"tess","slug":"data-manipulation-and-visualisation-in-python-at-uoa-online-bd62b953-3eb3-4904-98ce-d21e583066dc","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-07","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":944,"external_id":null,"title":"Surveying with Qualtrics at UniSA (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":"2024-11-07T09:30:00.000Z","end":"2024-11-07T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-29T14:00:27.428Z","updated_at":"2024-11-06T14:00:13.302Z","source":"tess","slug":"surveying-with-qualtrics-at-unisa-online-4f60cd6e-6c43-4fad-aa24-cc4406373f7f","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-06","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":958,"external_id":null,"title":"Introduction to Machine Learning using Python: SVM \u0026 Unsupervised Learning at UC 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":"2024-11-07T09:30:00.000Z","end":"2024-11-07T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-18T14:00:31.592Z","updated_at":"2024-09-30T14:00:29.174Z","source":"tess","slug":"introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-uc-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-09-30","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":963,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at UTS 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":"2024-11-07T09:30:00.000Z","end":"2024-11-08T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-24T14:00:30.615Z","updated_at":"2024-11-07T14:00:48.785Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-uts-online-ffefdddd-61ab-46b1-bca9-aded45365b90","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-07","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":967,"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":"2024-11-07T09:30:00.000Z","end":"2024-11-07T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-01T14:00:26.529Z","updated_at":"2024-11-06T14:00:15.410Z","source":"tess","slug":"surveying-with-qualtrics-at-uc-online-7e7eae6b-820b-432e-b663-9a52be45eb9b","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-06","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":969,"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":"2024-11-07T10:00:00.000Z","end":"2024-11-07T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-02T14:00:32.140Z","updated_at":"2024-11-06T14:00:13.746Z","source":"tess","slug":"data-capture-and-surveys-with-redcap-at-ltu-online-9c5b2fc5-595a-474e-9798-67f0e2999ca7","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-06","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":772,"external_id":null,"title":"Introduction to Machine Learning using Python: SVM \u0026 Unsupervised Learning at UniSA (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":"2024-11-07T13:00:00.000Z","end":"2024-11-07T16:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:12.324Z","updated_at":"2024-11-06T14:00:15.944Z","source":"tess","slug":"introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-unisa-online-35ae0601-598a-4a32-ad1f-7660c5a593d7","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-06","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":943,"external_id":null,"title":"Getting Started with NVivo for Mac at UniSA (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 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":"2024-11-08T09:30:00.000Z","end":"2024-11-08T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-29T14:00:27.343Z","updated_at":"2024-11-07T14:00:48.334Z","source":"tess","slug":"getting-started-with-nvivo-for-mac-at-unisa-online-377a7bda-b1bf-4683-9b5f-fefacfc2a16c","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-07","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":926,"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":"2024-11-08T10:00:00.000Z","end":"2024-11-08T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-09T14:00:34.252Z","updated_at":"2024-11-07T14:00:47.838Z","source":"tess","slug":"getting-started-with-nvivo-for-mac-at-acu-9fd3fd29-3ea1-408b-af10-7eed0bf47f44","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-07","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":647,"external_id":null,"title":"Data Manipulation and Visualisation in Python at UNE 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":"2024-11-12T09:30:00.000Z","end":"2024-11-13T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-06-26T14:00:35.427Z","updated_at":"2024-11-12T14:00:51.325Z","source":"tess","slug":"data-manipulation-and-visualisation-in-python-at-une-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-12","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":964,"external_id":null,"title":"Learn to Program: Python at DCCEEW 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":"2024-11-12T09:30:00.000Z","end":"2024-11-13T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-25T14:00:27.545Z","updated_at":"2024-11-12T14:00:50.815Z","source":"tess","slug":"learn-to-program-python-at-dcceew-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-12","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":720,"external_id":null,"title":"Introduction to Machine Learning using R: Introduction \u0026 Linear Regression at UOA 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\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 R and 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 to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts and familiarity with dplyr, tidyr and ggplot2 packages.\\\\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/r205).","start":"2024-11-12T13:30:00.000Z","end":"2024-11-13T16:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:44.159Z","updated_at":"2024-11-12T14:00:50.651Z","source":"tess","slug":"introduction-to-machine-learning-using-r-introduction-linear-regression-at-uoa-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-12","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":[]}]