Visualisation - Samenvattingen en Aantekeningen

The Midterm paper for the CSM course Terrorism and Counterterrorism. The topic of the paper is measuring counterterrorism success and it uses descriptive statistics and visualisation to show trends. Graded with an 7.5.

This is an English summary of the Data Science Concepts' lecture, given in 2024/2025 at Wageningen Univeristy & Research. I use a lot of visual support to make concepts easier to comprehend.

-This document contains all articles, lecture notes and the core papers. The non-core papers I have elaborated on the basis of the lectures and possibly supplemented with visualisations. I have summarised the core papers on the basis of the examination questions that were asked in our year. In addition, I made my own visualisations and used the presentations from the lectures.

Summary of all lectures for GRS20806 Geo-information tools. The summary has been made as visual as possible and contains all important information from the lectures. Will help for 25 - 50% of the exam, rest of exam will be application.

The thesis defence presentation includes the most invaluable information from the research paper, so findings, methodology - research methods, hypotheses, results and their visualisation on slides etc.

Summary of the following literature: 1. Edwards, M., & Edwards, K. (2019). Predictive HR Analytics: Mastering the HR Metrics. Chapters 1, 2, 3, 4 & 12 2. Khan, N., & Millner, D. (2020). Introduction to People Analytics: A practical guide to Data-Driven HR. Chapters 1, 2, 5, 6, 7, 8 & 10 3. Cascio, W. F., Boudreau, J. W., & Fink., A. A. (2019). Investing in people: Financial impact of human resource initiatives. Chapter 1 & 2 (p.25-32) 4. N. Nussbaumer Knaflic, C. (2015). ...

This document is a summary of the self study assignments of the course genomics and big data. It briefly summarizes the information of the assignments every week. This document does not contain week 3 because it was a vacation week.

Applied Data Science Utrecht University (UU): Data handling and preparation, supervised & non-supervised machine learning, using SQL, Python, and R.

Complete lecture aantekeningen van het vak Data (IOB3-3-22) voor het 2e studiejaar van de opleiding Industrieel Ontwerpen aan de TU Delft.

Grade 2 Industrial Design Engineering TU Delft summary Data (IOB3-3-22). A brief summary of data lectures M1 to M8 and key concepts.