Analytics - Guides d'étude, Notes de cours & Résumés

A full summary of all lectures + notes taken during these lectures. The articles and chapters that served as preparation for each lecture are also included (to be viewed before each lecture).

Dit is een samenvatting van alle stof voor tentamen strategisch HRM. Alle modellen komen erin voor en het 6 componentenmodel is uitgebreid uitgelegd. HR-analytics hf 3, 5.2 en 7 is ook samengevat. Ook uitleg over strategische personeelsplanning en de IDU matrix. Belangrijke aspecten zijn dikgedrukt en de samenvatting is overzichtelijk door bulletpoints. De samenvatting is makkelijk geschreven en te begrijpen.

Een uitgebreide samenvatting van het basisboek data-driven marketing inclusief plaatjes.

This is a summary of the course HR Analytics. I passed the course with an 8.1. I read all the articles and books and attended all the lectures. Based on all this information, the summary was created. Furthermore, I included a glossary to find information more easily during the exam.

Summary of Module 1 - Module 5 of Customer Analytics 2023/2024 of the lecture slides, theory in the labs and some additional explanations.

A summary of all lectures of the course 'Strategy Analytics' of the MSc Strategic Management. The lecture summary is combined with information from the book.

With this summary, I passed the course with an 8. I've compiled a comprehensive Causal Analytics (CAT) summary based on a thorough examination of lecture slides and additional notes. This condensed overview delves into key concepts and insights covered in the lectures, providing a synthesized understanding of the subject matter.

Moduleopdracht (Adviesrapport) ter afsluiting van het vak HR-performancemanagement en HR-analytics.

Summary for the Strategy Analytics elective course part of the Business Administration Master

Uitgebreide samenvatting van alle literatuur en colleges van DAAC (als extra het tentamen van oktober 2023 opgenomen deze is samengesteld op basis van screenshots tijdens het inkijkmoment).

Summary of Quantitative Innovation Analytics with the topics: 1) Introduction to the course and quantitative models, 2) Theory and research designs, 3) Linear regression in R, 4) Binary logit models, 5) Multilevel regression, 6) Count Models, and 7) Time to event analysis.