Introduction to Data Science

Education facts

Code: DS2006

The course teaches critical concepts and skills in computer programming and data analysis in conjunction with hands-on analysis of real-world datasets. The student develops practical skills through computer labs and practical programming tasks in the project. The course covers the following topics: - Basics of programming in Python, including variables, types, input/output, conditional statements, repetitive statements, functions, data structures such as lists. - Data manipulation and processing using Python libraries such as Pandas. - Data visualization using Python libraries such as Seaborn. - Data analysis including classification, regression, clustering, and anomaly detection, using libraries such as scikit-learn.

Entry requirements

General entry requirements (with the exemption of the requirement in Swedish for those with foreign grades) + English 6, Mathematics 3b or 3c or Mathematics C. Or: English level 2, Mathematics - continuation level 1b or level 1c.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Introduction to Data Science

  Halmstad University

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 100 %