Using R for S tatistical AnalysisBack to Intranet events
|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)
Assumed Knowledge: Multiple Linear Regression (eg STAA0005A)
Software used: R
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:
- Arrange and consolidate large datasets in an R software environment.
- Develop the ability to perform advanced programing in an R software environment.
- 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.
Contact Information: Charlotte Coles
Email: firstname.lastname@example.org Tel: 9214 8434