Postgraduate | SWI-STA60003 | 2024
Basic Statistical Computing Using R
Course information for 2024 intake
View information for 2023 course intakeUpskill 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.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- 13 weeks
Price from
$3,720
Upfront cost
$0
FEE-HELP available
Basic Statistical Computing Using R
About this subject
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.
- 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
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.
This subject was formerly known as STA60003 Basic Statistical Computing
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).
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- QS Ranking 2023:
- 18
- Times Higher Education Ranking 2023:
- 13
Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Core
- SWI-STA-GCE-2024 - Graduate Certificate of Applied Statistics
Elective
- UNE-PRO-GCE-2024 - Graduate Certificate in Professional Practice
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)
Additional requirements
- Other requirements - You will require access to a recent version of SPSS - at least the SPSS Grad Pack.
Study load
0.125 EFTSL
This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following degrees
PostgraduateSWI-STA-GCE
PostgraduateUNE-PRO-GCE