Data Science Research Methods

Summary on the course Data Science Research Methods (JBM025) from the major Data Science in Eindhoven and Tilburg. This course has two parts. The first part focusses on the scientific method and design of experiments (DOE). The second part focusses on econometrics and builds upon what is discussed in the course Business Analytics.

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.

This document contains notes on the lectures of Alessandro Di Bucchianico and Thomas Klein. And also a summary of the compulsory reading material for each lecture. This one is the large, detailed summary. It contains almost each detail mentioned during the lectures.

This document is an exhaustive summary of all the material provided in the 2020/2021 Data Science Research Methods course. It includes in-depth descriptions of theory from the books Experimental Design (Berger et al., 2018) and Mostly Harmless Econometrics (Angrist et al., 2009) as well as the theory given in the lectures. Additionally, this 45-page document contains examples and quiz questions including worked out solutions to help you pass the exam!