DS1013 credits
Introduction to Data Science
Lecturer: Jane Nguyen
The data science workflow end to end: collecting, cleaning, exploring and communicating data with Python.
2 lessonsOpen course →
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Detailed lecture notes, slides and study guides for every course — plus the latest news, seminars and exam schedules.
Featured courses
All courses →ML2014 credits
Machine Learning
Lecturer: Minh Tran
Supervised and unsupervised learning, model evaluation, regularisation and an introduction to neural networks.
3 lessonsOpen course →
STAT1103 credits
Probability & Statistics
Lecturer: Jane Nguyen
Random variables, common distributions, estimation and hypothesis testing for data-driven decision making.
2 lessonsOpen course →
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View all →ML201 project groups are open
Form groups of three and register your project topic before the deadline.
How we write maths in our lecture notes
A short guide to the LaTeX syntax supported on this site, for students and lecturers alike.
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Welcome to the new semester
Course registration, where to find lecture notes and how to reach your lecturers.
Upcoming events
View all →Seminar
Seminar: Large Language Models in Education
15 Oct 2026 · 14:00 · Room A2-301
Project Deadline
ML201 project proposal due
30 Oct 2026 · 23:59 · Online submission
Exam
STAT110 midterm exam
12 Nov 2026 · 08:00 · Hall B