Credit Points 10

Legacy Code 301493

Coordinator Chng Wei Lau Opens in new window

Description This subject is designed for postgraduate students seeking to develop programming skills for data-driven research and professional practice. You will gain hands-on experience manipulating large, diverse datasets to enable complex analysis. You will also learn to create advanced data visualisations and publish transparent, well-documented analyses using R graphics, Markdown, and R Markdown to inform decision-making. The subject will further equip you with robust script development practices, including version control, testing, and Unix commands within the Git environment, providing a strong foundation for a career in data engineering, analytics, and machine learning.

School Computer, Data & Math Sciences

Discipline Computer Science

Student Contribution Band HECS Band 2 10cp

Check your fees via the Fees page.

Level Postgraduate Coursework Level 7 subject

Learning Outcomes

1. Use Excel to manage and manipulate data.
2. Extract, transform and load data using R and R-Studio; including reading and writing data files.
3. Create complex R programs to conduct Data Science tasks.
4. Use basic SQL to access databases.
5. Apply simulation techniques to Data Science tasks.
6. Create reports using Markdown and R-Markdown.

Subject Content

1. Introduction to R and R-Studio
2. Data Types, Variables , Expressions, and Data Structures
3. Input and Output
4. Control Structures: Loops, ,Conditional Expressions, and Functions
5. Simulation techniques
6. Object-oriented programming in R
7. Introduction to SQL
8. Using Markdown for reporting