Business Intelligence & Data management

This contains exercises for all the LAB sessions. The exercises come from various old exams, ranging from 2012 to 2018. The exercises are grouped by each subject: Naive Bayes, Decision Trees, Clustering, SQL and Association rules. Some exams did not provide answers so I answered them. Those questions are marked so you know that the answers may or may not be correct.

Summary including lectures and video lectures. Also includes a few parts on SQL.

This is a summary for the course Business Intelligence and Data Management of the Master Information Management. It covers all the course material as discussed in the lectures by professor Caron & Smits. It contains all relevant exam material including some examples of SQL. Also the answers of the SQL Lab Sessions!

Hi guys, This is a summary for the course Business Intelligence and Data Management of the Master Information Management. It covers all the course material as discussed in the lectures by professor Caron. By using this summary, I have passed the course with a 9.0 so it contains all relevant exam material.

Business Intelligence Data Management Data Science Data Mining Machine Learning SQL

Summary lectures Business Analytics and Data management

Summary chapters: Of first three lectures

Summary chapters: 1,2,3,6,5,7,8,9,14,15