Course - Health data analysis and Python - IT6118
Health data analysis and Python
New from the academic year 2025/2026
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course introduces using the Python programming language to perform data analysis on real-world health data. Teaching combines theoretical lectures and practical hands-on exercises.
Learning outcome
Knowledge
The studenten should be able to:
- Learn basic Python, one of the most popular programming languages for data analysis
- Perform exploratory data analysis and visualize summary statistics using the Python libraries
- Perform simple operations on databases to extract information using Structured Query Language (SQL).
Skills
The student should be able to:
- Perform simple operations on real-world health data
- Summarize and communicate result
Learning methods and activities
Lectures and in-class laboratory exercises.
Compulsory assignments
- Participation in seminars
Further on evaluation
The exam in this course is a portfolio with assignments, which all count equally of the grade. All assignments must be submitted during the course. The entire portfolio is then submitted together at the end. Scoring by points on the individual assignments and by letter grade on the overall portfolio. The latter is the final grade for the course.
In case of re-sit exam, the entire portfolio must be submitted again.
Students with approved mandatory activity do not need to complete this again in case of repetition of the exam.
Specific conditions
Admission to a programme of study is required:
Healthcare Informatics (MHI)
Recommended previous knowledge
New to programming or need to brush up on your programming skills? Learn to code with these beginner-friendly courses:
· Get started with Python, if you have no coding experience: https://www.kaggle.com/learn/intro-to-programming/
· Learn the most important language for data science: https://www.kaggle.com/learn/python/
Required previous knowledge
Three years of higher education (college / university) and at least two years of relevant work experience after completed degree (admission requirements for the master's program in healthcare informatics).
Course materials
· Downey, A. (2024). Think Python: How to think like a computer scientist (Third edition). O’Reilly Media, Inc. https://allendowney.github.io/ThinkPython/
· McKinney, W. (2022). Python for data analysis: Data wrangling with pandas, NumPy, and Jupyter (Third edition). O’Reilly. https://wesmckinney.com/book/
Special requirements for equipment and computer tools. Access to your own computer is required. More information to come.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| IT6102 | 1.2 sp | Autumn 2025 |
| IT6104 | 1.2 sp | Autumn 2025 |
Subject areas
- Technological subjects
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Department of Computer Science