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Using R for Statistical Analysis (STAA0003B)

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Date: Six 2 hourly sessions 17/4-22/5
Time: 5:30PM to 7:30PM
Venue: EN409 Hawthorn Campus
Cost:Free

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Duration: 6 x 2 Hour Sessions

Date/s: Tuesdays 17/4-22/5 

Time: 5:30pm - 7:30pm

Room:  EN409

Course Description:

This course of study aims to extend the ideas developed in Introduction to R. In this course you will learn key programming principles of R and how to develop and perform different types of statistical analyses and data visualisation.  You will develop competence in programming in R - essential skill for a statistician or data scientist.

After successfully completing this unit, students will be able to:

  1. Write R programs to conduct hypothesis testing and compare means.
  2. Perform simple linear regression.
  3. Analyse categorical data.

Pre-requisites: Introduction to R (e.g. STAA0003A)

Software used: RStudio

Maximum Capacity: 20 students

Online quizzes are available for self assessment.

Contact Information: Charlotte Coles
Email: cacoles@swin.edu.au

Venue Location: