BDMA Study guides, Class notes & Summaries

Contains everything from the Big Data Management & Analytics course. No information is left out, and I've added information from the pre-recorded videos not present on the slides themselves (additional context or explanations). In short: all the relevant info made available in a singular file with all it's searchable content (ctrl+F). Post-exam, I added yellow stars next to topics covered in the examination.

Summary of the course BDMA. Grade achieved: 8.8

All 5 cases of the block GGZ2029 Addiction of the Bachelor Health Sciences, direction GGZ at Maastricht University. The cases are worked out in English by means of bulletpoints. I closed this block with an 8! :)

A comprehensive summary of the lectures that were based on the book ‘Data Science for Business; What You Need To Know About Data Mining and Data-Analytic Thinking’ written by Foster Provost & Tom Fawcett. The summary includes screenshots of all key concepts (i.e. learning objectives) of the course Big Data Management & Analytics at RSM. I went to every lecture (i.e. Data Analytics, Data Collection and Ethics, Predictive Modeling, Model Fit, Overfit and Evaluation, Additional Data Science To...

(Grade: 8,3) Summary BDMA 2017/2018 of the following materials: Table of Contents Week 1 Chapter 1: Introduction – Data-Analytical Thinking Lecture 1 Week 2 Chapter 2: Business Problems and Data Science Solutions Lecture 2: Collecting data for a data mining project Week 3 Chapter 3: Introduction to Predictive Modelling: From Correlation to Supervised Segmentation Chapter 4: Fitting a Model to Data Article: Predictive Analytics in Information Systems Research Lecture 3 – Predictive model...

MAIN BOOK: Provost & Fawcett (2013). Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking ADDITIONAL ARTICLES: Richard & King (2014). Big Data Ethics Marz and Warren (2015). Chapter 1: A new paradigm for Big Data