Advanced programming and biomedical data analysis

This is the material for the 8CC00 course (TU/e, Biomedical Engineering Department) – Welcome!

This notebook was made with ❤️ by Francesca Grisoni.
Other key contributors are acknowledged for their support.

Roadmap of this website

Table of contents

The course
How to use this website
Thesis opportunities
Contributors

^{Image credits ColourBox}

The course

If you have a basic understanding of Python programming and are interested in applying your skills to biomedical data analysis, then you’ve come to the right place. The course will focus on improving your ability to :

Write and structure complex code.
Interpret complex biomedical data in a meaningful way.
Have the right basis to further improve your coding and analysis skills.

Upon completion of this course, you should have developed the skills and confidence necessary to tackle complex programming and data analysis problems in a biomedical setting.

How to use this website

This interactive webpage is aimed to be an additional (non-exhaustive) support to your learning and your voyage in the world of data science! Here you will find code examples, explanations, and additional resources that might come in handy.

The notebook is divided into four sections:

Getting started: here you will find all the necessary to approach advanced Python programming. Make sure you are up-to-speed with all these tools and their functioning before starting your adventure with the course!
Advanced programming: this section contains guiding principles to build advanced and reliable Python code.
Object-oriented programming: a primer on how to get started when using OOP principles in Python, and why it matters.
Data analysis: here you will find key information on how to analyze complex and multivariate biomedical data.

Although these sections have been organized in a somewhat logical order, there’s no right or wrong way to approach their content. Thus feel free to skip, and go back and forth to whatever might need you. Below most pages, I’ve listed resources that might help you learn faster/more effectively on specific topics of your choice. With the Search function 🔎, you should be able to find what you need, faster. Also, don’t forget to check out our Bonus section!

Thesis opportunities

Are you eager to apply data science, programming and machine learning to relevant problems in chemical biology and drug discovery? Then, our group might be for you!

Reach out to know more about BEP and MSc thesis opportunities!

Contributors

Several people have made this website possible, and they are thanked for their support:

Meilina Reksoprodjo, resources & brainstorming, energy and persistence.
Rıza Özçelik, resources, brainstorming and video tutorial on OOP.
ChatGPT, writing support. 😎