Using R for S tatistical Analysis

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Date: Wednesday 01 March 2017
Time: 5:30PM to 8:30PM
Venue: ATC325 Hawthorn Campus

Course: STAA0012 - Introduction to R 

Blackboard Site:  STAA0012

Dates: Six 3 hour sessions Wednesdays 1/3 – 5/4 (5.30 – 8.30 pm) (18 hours)

Room:  ATC325

Assumed Knowledge: Multiple Linear Regression (eg STAA0005A)

Software used: R

Course Description:

In this course you will learn how to install and configure R software. The course presents how to program in R, read data into R, access R packages, and organise and comment R code.  In this course you will learn how to use R for effective analysis of the basic data types. Some of the most commonly used probability distributions will be introduced. Statistical data analysis will be conducted using working examples.
After successfully completing this unit, students will be able to:

  1. Arrange and consolidate large datasets in an R software environment.
  2. Develop the ability to perform advanced programing in an R software environment.
  3. Relate the basics of fundamental probability distributions to different types of data.

Formulate practical and user friendly solutions to real life problems in the form of a statistical model in an R software environment. 

Online quizzes will be available for self-assessment.


Venue Location:

Contact Information: Charlotte Coles
Email: Tel: 9214 8434