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Statistics 101 – How to analyse your data from beginning to end

Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

Wednesday, 30 October 2019 from 9:30 am to 10:30 am (AEDT)

Statistics 101 – How to analyse your data from...

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Event Details

This is the registration page for Statistics 101 – How to analyse your data from beginning to end, run by the Sydney Informatics Hub.

Do you have data to be analysed but you don’t know where to start? You are getting errors before you even get to the desired analysis?

Many introductory statistics courses use ‘clean’ data sets and teach statistical analysis in isolation, yet real-world data usually requires substantial preparation and exploratory analysis before the desired inferential analysis can be conducted.

This workshop is designed to cover the basic steps of how to go about your data analysis in a systematic way and covers:

  • Data cleaning
  • Data re-structuring
  • Exploratory Data Analysis - what to plot, what to tabulate and what to look for

Thanks, 

Sydney Informatics Hub.

 


Training is limited to staff, students and affiliates of the University of Sydney.

  • Please use your PROFESSIONAL email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, @centenary.org.au, etc
  • If you do not have an "obvious" University of Sydney email address, please use your professional email, and we'll get in touch.
  • Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!
Have questions about Statistics 101 – How to analyse your data from beginning to end? Contact Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

When & Where


University of Sydney
Camden Commons Library
335 Werombi Rd, #c15
Camden, NSW 2570
Australia

Wednesday, 30 October 2019 from 9:30 am to 10:30 am (AEDT)


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Organiser

Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

The Sydney Informatics Hub provides support, training, and advice on research data, analyses and computing. Talk to us about your computing infrastructure, data science, digital tools and data governance needs. We can also assist you in choosing the best platforms to facilitate your workflow and collaboration. See https://informatics.sydney.edu.au/ for more information. 

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