COM6018 Data Science with Python

Aims/Description: This module starts with a rapid review of basic background mathematics and statistics, and an introduction to Python. The module will then introduce students to a range of statistical and programming techniques and give practice in their implementation and interpretation using Python. It aims to help students develop the knowledge and experience to select and use appropriate techniques for a variety of problems. The emphasis will be on practical application of techniques and knowledge of their scope rather than development of theoretical underpinnings. Areas to be covered include: exploratory data analysis, simple checks on data, statistical data modelling, programming and optimization. Students will also learn the fundamentals of robust data management and reproducible scientific analysis.

Staff Contact: BARKER JONATHAN P

Teaching Methods: Lectures, Laboratory work, Independent Study

Assessment: Practical skills assessment

Information on the department responsible for this unit (Computer Science):

Departmental Home Page

Teaching timetable

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Teaching methods and assessment displayed on this page are indicative for 2025-26.