Data science society - Samenvattingen en Aantekeningen

An detailed, well-structured summary including all the course materials: class slides, final exam example questions, quiz questions posted by the professors, with clear chart and beautiful, neat layout. This is for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society, during the first semester of the academic year 2024 / 2025 (August to December 2024).

A summary of the online lectures made available for the course Statistics and methodology of the master Data Science & Society at Tilburg University. Different terms are explained as simple as possible to make it easy to understand. Also, several examples have been given about how to interpret specific outputs in R.

Grade: 8.6. Extensive summary for the course Data Science Regulation & Law. The summary contains the content of the lectures of all clusters, including additional notes and explanations. The course is part of the MSc Data Science & Society at Tilburg University.

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.

Grade: 9.3. Extensive summary for the course Statistics & Methodology at Tilburg University. The summary contains the content of all lecture slides/video clips, including additional notes, examples and explanations. The course is taught by dr. L. Vogelsmeier as part of the MSc Data Science & Society.

MSc Data Science & Society - Data Science Regulation & Law (620087-M-6) - Summary of both the text book and the lectures. Very representative to the assignment and the final exam. Used this summary for both the assignment (30%) and the final exam (70%). Final grade: 9.5/10.

Grade: 9.2. Extensive summary for the course Image Analyis at Tilburg University. The summary contains the content of all lecture slides, including additional notes, examples and explanations. The course is taught by dr. S. Ong, as part of the MSc Data Science & Society (among others).

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.

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 ...

English Summary of Machine Learning course of Master Data Science and Society at Tilburg University. A summary of lecture materials, readings, and notes.

English summary of Data Science Regulation and Law from the Master of Data Science and Society. Summary of the full course (full semester). Summary includes information from the slides of the lectures, the readings, and notes taken during lectures.

Study material for the midterm, including mock exams and real final exam questions from the fall 2023 semester. Study material from practical exercises is not included, only exam questions.