Technische Universiteit Eindhoven (TUE) • Data Science

A short summary discussing the Statistical Computing JBM050 course for the bachelor Data Science in Tilburg and Eindhoven. This summary is based on the lectures and the reading materials.

This summary contains all the theory from the lab sessions and exercises given in the JBC090 course. This is an addition to the summary of the theory given in this course. This will help you prepare for the interim exam as well as the final exam, good luck!

This summary contains all the theory provided in the JBC090 course in 2021/2022. This includes elaborate description and practical examples of the concepts. This will help you preparing for the exam!

This 40-page summary consists all the information necessary to prepare for the JBM040 Business Analytics (becomes JBM045 Econometrics for DS) exam. The summary includes descriptions of all relevant concepts, formulas and statistical assumptions. Additionally, several proofs are added at the end of the document.

This summary contains all theory given in the JBI100 Visualization course at TU/e in cooperation with TiU in 2021/2022. It is based on Munzner's Visualization Analysis & Design book. The summary includes descriptions of all relevant concepts and theory.

This extensive summary contains all the theory presented in the JBE140 Business Insights course given at the TU/e in cooperation with TiU in 2021/2022. This includes explanation of relevant concepts as well as a 20-page description for using R for Social Network Analysis to help you prepare for the exam!

This summary contains all the theory presented in the JBL120 (becomes JBL125) Law and Data Science course given at TU/e in cooperation with TiU in 2021/2022. This includes elaborate explanation of relevant concepts, theory, case law and a 'Latin Phrases Cheatsheet' on the last page of the document. This will help you be prepared for the exam!

This document contains a summary with all the necessary functions for you to know for the exam. It includes the notes made by the teacher in the online lectures that are not on the slides. It only includes the first part of the Data Fusion lecture. And there is nothing about How to Lie with Data, because I feel like this is just common sense.

Class notes on the lectures of Data Structures given by Prof. Dr. Bettina Speckmann. In the notes, there are images of the important algorithms mentioned in the lecture and all important computation.

This document is a summary of the class notes that are also in this Stuvia. It is more organized and contains all main elements of the lectures and reading material.