Date: 16 August 2021 @ 12:00 - 13:00

Timezone: Canberra

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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

Contact: Melissa Burke melissa@biocommons.org.au

Keywords: Data analysis, R

Venue: Online

Country: Australia

Organizer: Australian BioCommons

Host institutions: Australian Biocommons

Eligibility:

  • First come first served

Target audience: Biologists

Capacity: 500

Event types:

  • Workshops and courses

Scientific topics: Data architecture, analysis and design, Statistics and probability, Bioinformatics

Operations: Data handling


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