Statistical Programming for Data Science

Undergraduate | 2026

Course page banner
area/catalogue icon
Area/Catalogue
COMP 4014
Course ID icon
Course ID
205819
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
4
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
alt
Note:
Course data is interim and subject to change

Course overview

This course will provide students with comprehensive skills in Python and R programming for effective data analytics. Through hands-on instruction, students will learn to load data, perform data manipulations, conduct analysis using appropriate statistical testing methods, create data visualisations, and report findings in both Python and R environments. The Python programming language - program control constructs, data structures, calling R from Python. The R programming language - statistical analysis and visualisation of large data sets.

Course learning outcomes

  • Attain proficiency in Python and R programming for data analytics.
  • Master loading data, data manipulation techniques, and data analysis.
  • Apply suitable (and appropriate) statistical testing methods for analysis.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A