Data Science and Society (INFOMDSS)

This two-page Data Science and Statistics (DSS) Cheat Sheet is designed to support students preparing for the INFOMDSS open book exam, providing a focused yet comprehensive overview of essential clustering, classification, and evaluation metrics. With quick-reference explanations of key concepts—such as clustering methods (K-means, DBSCAN), performance metrics (Silhouette Index, ROC curves), and data quality measures—this cheat sheet is also a valuable resource for other data science courses...

This 2 page (one piece of paper) cheatsheet gives a full overview of all of the theoretical datascience topics including classification approaches like Bayes Theorem. Please note that the preview page is blurred as this page makes half of the complete document, therefore including a bunch of valuable info.

This summary consists of everything you need to know for the final exam of INFOMDSS. Good luck studying!

Summary for data science and society. Can be print out and has all the theory to pass the exam.

Some exercises with answer from the Final exam

This summary provides an in-depth summary of the lectures, literature, & assignments in the course Data Science and Society.

These notes are a summary of all the lectures, literature and assignments needed for the UU Data Science and Society midterm exam.

This summary provides an indepth summary of the lectures, literature, & assignments in the course Data Science and Society.