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By the end of the course, attendees will have a solid grasp of the nuances of population representation and frame selection, enhancing their ability to design credible and accurate surveys.","start":"2025-05-13T00:00:00.000Z","end":"2025-05-14T04:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-18T00:05:21.736Z","updated_at":"2025-01-18T00:05:21.736Z","source":"tess","slug":"introduction-to-survey-sampling-with-alexandru-cernat-school-of-social-sciences-university-of-manchester","content_provider_id":42,"user_id":228,"online":true,"last_scraped":null,"scraper_record":false,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"info@instats.org","host_institutions":["Instats"],"prerequisites":null,"tech_requirements":null,"cost_basis":"Cost incurred by all","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":2235,"external_id":null,"title":"Introduction to Survey Sampling with Alexandru Cernat, School of Social Sciences, University of Manchester","subtitle":null,"url":"https://instats.org/seminar/introduction-to-survey-sampling2?utm_source=dresa","organizer":"Alexandru Cernat, School of Social Sciences, University of Manchester","description":"This two-day workshop provides an in-depth introduction to applied survey sampling, focusing on key techniques such as simple random sampling, stratified sampling, and cluster sampling. 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By the end of the course, attendees will have a solid grasp of the nuances of population representation and frame selection, enhancing their ability to design credible and accurate surveys.","start":"2025-05-13T00:00:00.000Z","end":"2025-05-14T04:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2025-01-18T00:08:32.196Z","updated_at":"2025-01-18T00:08:32.196Z","source":"tess","slug":"introduction-to-survey-sampling-with-alexandru-cernat-school-of-social-sciences-university-of-manchester-d32d3852-51a1-4361-8d60-a9ef621c2e28","content_provider_id":42,"user_id":228,"online":true,"last_scraped":null,"scraper_record":false,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"info@instats.org","host_institutions":["Instats"],"prerequisites":null,"tech_requirements":null,"cost_basis":"Cost incurred by all","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":2418,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at Deakin 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\n- Comprehensive 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":"2025-05-13T09:30:00.000Z","end":"2025-05-14T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-03-24T17:00:42.913Z","updated_at":"2025-05-13T17:02:11.677Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-deakin-online-3e1166ef-f79c-46b0-9f98-c544d25c27a6","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2364,"external_id":null,"title":"Data Manipulation and Visualisation in Python at UniSA (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\n- Working 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\nThe fundamental programming concepts taught in our [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course is assumed knowledge for participating in this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) course to ensure that you are familiar with the knowledge needed for this course.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/python203).","start":"2025-05-13T09:30:00.000Z","end":"2025-05-14T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-03-03T17:00:48.862Z","updated_at":"2025-05-13T17:02:12.723Z","source":"tess","slug":"data-manipulation-and-visualisation-in-python-at-unisa-online-71f494af-99e8-4daa-9f9e-134d68a75d4f","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2163,"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. 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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":"2025-05-14T09:30:00.000Z","end":"2025-05-14T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-04-02T17:00:39.137Z","updated_at":"2025-05-13T17:01:33.857Z","source":"tess","slug":"exploring-anovas-in-r-at-uc-online-7b83a9cf-107c-4629-bf9f-cfc463eebc30","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2446,"external_id":null,"title":"Traversing t tests in R at UNSW 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":"2025-05-14T09:30:00.000Z","end":"2025-05-14T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-03-28T17:00:40.499Z","updated_at":"2025-05-13T17:02:14.990Z","source":"tess","slug":"traversing-t-tests-in-r-at-unsw-online","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2472,"external_id":null,"title":"Longitudinal Trials with REDCap at UNE 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":"2025-05-14T09:30:00.000Z","end":"2025-05-14T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-04-06T17:00:39.703Z","updated_at":"2025-05-13T17:02:22.070Z","source":"tess","slug":"longitudinal-trials-with-redcap-at-une-online-9abf13b9-2d9f-4887-af5b-39582fa75655","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2491,"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":"2025-05-14T13:00:00.000Z","end":"2025-05-15T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-04-16T17:00:35.580Z","updated_at":"2025-05-13T17:01:30.514Z","source":"tess","slug":"learn-to-program-r-at-ltu-online-24f4d3c7-aedf-4871-8c6d-7194596b24dc","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2454,"external_id":null,"title":"Getting started with NVivo for Windows at UC 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":"2025-05-15T09:30:00.000Z","end":"2025-05-15T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2025-03-31T17:00:42.046Z","updated_at":"2025-05-13T17:02:17.383Z","source":"tess","slug":"getting-started-with-nvivo-for-windows-at-uc-online-b5e996ec-1a32-4316-942c-744495febafa","content_provider_id":8,"user_id":50,"online":true,"last_scraped":"2025-05-13","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":2384,"external_id":null,"title":"From Basic to Advanced Network Analysis in R with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)","subtitle":null,"url":"https://instats.org/seminar/from-basic-to-advanced-network-analysis?utm_source=dresa","organizer":"Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)","description":"This 2-day workshop offers a comprehensive understanding of network analysis and its application in R. 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