Introduction to Statistics

Course Code: Y2C2
ECTS Credits: 5.0

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.

Course Coordinator(s)