Introduction to Business Analytics
HKUST Business School · ISOM 2600
Introduction to
Business Analytics
From your first line of Python to data-driven business decisions.
Watch a lesson, explore the slides, and put each idea into practice.
Taught by Prof. Xuhu Wan · Fall 2026
Course content
Choose a section to watch its video and slides together, or open its practice. Each chapter ends with a quiz.
Chapter 0
Basics of Python
Build your Python foundation with small examples, runnable code, and guided practice. No programming experience required.
7 sections · Section slides & videos
Chapter 1
Pandas Essentials for Business Data
Work with lists, modules, NumPy arrays, pandas Series, charts, and probability distributions.
6 sections · Section slides & videos
Chapter 2
Working with DataFrames in Pandas
Select and clean business records, create measures, explore groups, and track changes over time.
8 sections · Section slides & videos
Chapter 3
Predicting with Linear Regression
Study relationships, fit regression models, interpret uncertainty, and evaluate predictions.
9 sections · Section slides & videos
Appendix A — Statistical Foundations ↗Optional theory · Interactive diagrams · High-school mathematics
Appendix B — Linear Regression Theory ↗Optional theory · Interactive diagrams · High-school mathematics
Chapter 4
Finding Hidden Groups — Clustering Methods
Measure similarity, discover customer groups, and translate cluster profiles into business decisions.
6 sections · Section slides & videos
Learn by doing
Watch the section video, run the examples in the slides, then open the section practice. Finish with the chapter quiz.
For fuller explanations and review, use the companion book.
Open interactive book ↗