Credit Points 10

Legacy Code 301487

Coordinator Chng Wei Lau Opens in new window

Description This subject is a practical introduction to coding and problem-solving in data science using the R programming language. You'll learn to develop and analyse R scripts to perform simple data analysis with diverse data sets. The subject also teaches you to create professional, reproducible reports with visualisations and introduces you to industry-standard tools like Linux and Git. By the end, you'll have a strong foundation in data, technology, and computer science.

School Computer, Data & Math Sciences

Discipline Computer Science

Student Contribution Band HECS Band 2 10cp

Check your fees via the Fees page.

Level Undergraduate Level 1 subject

Assumed Knowledge

Familiarity with computer software programs such as Excel.

Learning Outcomes

1.Familiarity with computer software programs such as Excel.
2.Manage and manipulate data using R and R-Studio; including reading and writing data files
3.Write R programs to conduct Data Science tasks
4.Use basic SQL to manage and manipulate data
5.Apply Simulation techniques to Data Science tasks
6.Write reports using Markdown and R-Markdown

Subject Content

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