Lectures and tutorials Samenvattingen, Aantekeningen en Examens

Course grade: 9.0. Extensive summary for the course Analysis of Customer Data. The summary contains the content of all lectures and tutorials, including additional notes and explanations. The course is taught by dr. B. Cule and dr. G. Napoles, as part of the MSc Data Science & Society at Tilburg University.

Good all-in summary of: - All lectures (+ guest lectures) - All answers from the tutorials - Summary of the mandatory articles - tested among 5 people and all achieved passing grades

This contains the summary of all articles (Tutorials + Lectures) for the academic year 2023/2024 of Digital Business and Transformation. The irrelevant information has been left out and the theory has been linked to the lectures. Deze samenvatting bevat alle artikelen voor het academisch jaar 2023/2024 voor Digital Business & Transformation. De irrelevante informatie is weggelaten en de theorie is gekoppeld aan de colleges.

Deze samenvatting bevat alle informatie uit de colleges en tutorials. Het tentamen is een open boek tentamen, dit is dus een handig hulpmiddel.

Grade: 9.0. Extensive summary for the course Data Mining for Business and Governance. The summary contains the content of all lectures and tutorials (the theory, not the coding), including additional notes, examples and explanations. I also incorporated parts of the relevant chapters of the following books (in the form of supplementing the lecture content): (1) Data mining: concepts and techniques (3rd edition) by Jiawei Han, Micheline Kamber, Jian Pei (H-Book), (2) Data Mining: The Textbook by ...

Complete Summary Marketing Channel Management. Including: summaries of all mandatory papers + elaborate notes of lectures, tutorials and web clips.

Provides an in-depth summary of the lectures, weblectures, readings and tutorials of the course Market Assessment given by Deleernsyder. This provides all material to study for your exam. Good luck!

Complete summary Fixed Income Analysis, including all notes accompanying (and including) the slides. It consists of all information of lectures. It also includes the take aways from making exercises and tutorials. All you need to know to pass the exam!

Course grade: 8.0. Extensive summary for the course Bayesian Multilevel Models. The summary contains the content of all lectures and tutorials, including additional notes and explanations. The course is taught by dr. B. Nicenboim, as part of the MSc Data Science & Society at Tilburg University. Note that the content (including the coding) of the tutorials is included, but not the answers to the exercises.