Postgraduate SWI-STA60003-2021

Basic Statistical Computing Using R

Upskill and package up your computer and statistical knowledge. Form questions. Use SPSS software to select, modify, merge and apply data visualisation techniques. Investigate missing values and manage complex data files.

From

$3,295 $3,545

Your upfront cost: $0

International student?

Duration

13 weeks

Study method

100% Online

Available loans

FEE-HELP

Assessments

Subjects may require attendance

Prior study

Not required

Swinburne University of Technology leads the way with innovative and new ways of teaching, learning and thinking. It offers a wide range of study options, from pre-apprenticeships, undergraduate, postgraduate and PhDs, including online degrees with Open Universities Australia. Swinburne is known for career-oriented education and encouraging lifelong learning.

QS RANKING 2021

Times Higher Education Ranking 2021

2021

Subject details

What you'll learn

Students who successfully complete this subject will be able to:

Clean and prepare unorganised data for analysis using R
Visualise data graphically using R.
Perform basic programming and user-defined function using R within the RStudio environment.
Write R programs to perform statistical analysis conduct and interpret hypothesis tests
Simulate data from different probability distributions.
Perform and interpret linear regression using R.
Analyse and interpret categorical data using R.

Topics covered

- Introduction to R and RStudio
- R data types and basic syntax
- Basic Principles of programming-functions, algorithms, loops
- Data summaries and graphics
- Hypothesis testing and comparison of means
- Probability distributions and simulation in R
- Linear regression
- Categorical data analysis

Entry requirements

Equivalent subjects

You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:

SWI-HMS772 (Not currently available)

Others

EQUIVALENT UNIT: This subject was formerly known as STA60003 Basic Statistical Computing

Additional requirements

Other requirements -
- Additional materials
- Other special requirement — You will require access to a recent version of SPSS - at least the SPSS Grad Pack.

Description

This subject 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 are essential for a statistician or data scientist to perform different types of statistical analyses.

Assessments

Please note: assessment values are indicative only, details will be advised at the start of the subject.