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Scientific topics: Data architecture, analysis... 

  • WEBINAR: Getting started with R

    16 August 2021


    WEBINAR: Getting started with R Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not always the best choice, particularly for large and complex datasets. R is an open-source software and programming language that enables data exploration, statistical analysis visualisation and more. While it is the tool of choice for data analysis, getting started can be a little daunting for those without a background in statistics. In this webinar Saskia Freytag, an R user with over a decade of experience and member of the [Bioconductor Community Advisory Board](, will walk you through their hints and tips for getting started with R and data analysis. She’ll cover topics like [R Studio]( and why you need it, where to get help, basic data manipulation, visualisations and extending R with libraries. The webinar will be followed by a short Q&A session. **Who the webinar is for** Aspiring data analysts from a variety of biological fields **Presenter**: Dr Saskia Freytag, Postdoctoral Fellow, Harry Perkins Institute of Medical Research. **Date/time:** 16 August 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST **How to join** This webinar is free to join but you must register for a place in advance. **[Register here](** 2021-08-16 12:00:00 UTC 2021-08-16 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Bioinformatics Statistics and probability Data architecture, analysis and design Australian Biocommons Melissa Burke [] Biologists 500 workshops_and_courses first_come_first_served Data analysisR

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