$3,510 $3,760
Your upfront cost: $0
Duration
13 weeks
Study method
100% Online
Available loans
- FEE-HELP
Assessments
Subjects may require attendance
Prior study
Not required
Start dates
- 27 Feb 2023
- 28 Aug 2023
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QS Ranking 2022
19
Times Higher Education Ranking 2022
23
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Subject details
-
- 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
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.
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.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Assignments, Individual (40%)
- Invigilated Exam, Individual (50%)
- Online Quizzes (10), Individual (10%)
For textbook details check your university's handbook, website or learning management system (LMS).
