Basic Statistical Computing Using R

STA60003 12.5 Credit Points Online, Hawthorn (Multi modal)

Duration

  • One Semester or equivelent

Contact hours

  • 36 hours

2020 teaching periods

Hawthorn

HOL Study Period 3

Dates:
31 Aug 20 - 29 Nov 20

Results:
22 Dec 20

Last self enrolment:
13 Sep 20

Census:
21 Sep 20


Prerequisites

Nil

Corequisites

Nil

Aims and objectives

 
2020 
 This unit introduces R, one of the popular open source statistical programming languages commonly used in applied statistics and data science disciplines. Students will learn key programming principles of R and develop competence in programming in R which is essential for a statistician or data scientist to perform different types of statistical analyses.

Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Clean and prepare unorganised data for analysis using R
2. Visualise data graphically using R.
3. Perform basic programming and user-defined function using R within the RStudio environment.
4. Write R programs to perform statistical analysis conduct and interpret hypothesis tests
5. Simulate data from different probability distributions.
6. Perform and interpret linear regression using R.
7. Analyse and interpret categorical data using R.

Courses with unit

Prior to 2018 this unit was titled  Basic Statistical Computing