Basic Statistical Computing Using R

STA60003 12.5 Credit Points Online

Duration

  • One Semester or equivelent

Contact hours

  • 36 hours

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

2023 teaching periods

Hawthorn

HOL Study Period 3

Dates:
28 Aug 23 - 26 Nov 23

Results:
22 Dec 23

Last self enrolment:
10 Sep 23

Census:
18 Sep 23

Last withdraw without fail:
13 Oct 23

Prerequisites

Equivalent
HMS772 - Basic Statistical Computing
 
Equivalent
HMS772Z - Basic Statistical Computing

Corequisites

Nil

Aims and objectives

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 ia essential for a statistician or data scientist to perform different types of statistical analyses.

Unit Learning Outcomes 

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