Introduction to Statistics

Course description

This course introduces the foundational concepts of statistics, including data collection, summarization, probability, and statistical inference. Students will learn to describe data, perform hypothesis tests, and interpret results using real datasets and statistical tools in Python. Emphasis is placed on understanding when and how to apply methods rather than memorizing formulas.

Through practical exercises and Jupyter notebooks, students will develop the ability to think statistically and make data-driven decisions. The course provides a solid foundation for further study in data science and machine learning.

Course content

Introduction to Data
Summarizing Data
Probability
Distribution of Random Variables
Foundations for Inference
Inference for Categorical Data
Inference for Numerical Data

Prerequisites

Completion of all Year 1 courses in the Applied Data Science & AI programme.