Using R for Statistical Analysis (STAA0003B)Back to Intranet events
|Date:||Six 2 hourly sessions 17/4-22/5|
|Time:||5:30PM to 7:30PM|
|Venue:||EN409 Hawthorn Campus|
Duration: 6 x 2 Hour Sessions
Date/s: Tuesdays 17/4-22/5
Time: 5:30pm - 7:30pm
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:
- Write R programs to conduct hypothesis testing and compare means.
- Perform simple linear regression.
- 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.