Prescriptive - Samenvattingen en Aantekeningen

In this summary you can find the micro lectures of this course. It is supplemented with parts from the book of Earl Babbie. This summary is about unit 12-22 & 24.

Summary for the course Research Methodology & Descriptive Statistics. It covers the theory for test 1, which includes the theory of units 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 26. All videos by Henk van der Kolk, articles, and chapters from the book are thoroughly included in this document. Good luck with the test :)

A comprehensive summary for Research Methodology and Descriptive Statistics test 2 including units 13, 24, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22 + R TEST based on the microlectures, lectures and assignments + R codes (own grade: 9.7)

1 What – data 1.1 Introductie 1.2 Data 1.3 History of data 1.3.1 Vroeger floppy disks 1.3.2 Hard disks 1.3.3 The cloud 1.4 Data producers 1.5 Processen 1.6 Technologie 1.7 Havens 1.8 Big data V's 1.9 Types of data 2 Data visualisatie 2.1 What? 2.2 Why? 2.2.1 Seeing is understanding 2.2.2 Visualization is the first step 2.2.3 Descriptive analytics 2.2.4 Diagnostic analytics 2.2.5 Predicitive analystics 2.2.6 Prescriptive analytics 2.2.7 Analysis ...

In this summary you can find the content from units 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 26. Its based on the learning objectives found at the modules in canvas. The summary was made in study year

A comprehensive summary for Research Methodology and Descriptive Statistics test 1 including units 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 & 23 based on the microlectures, lectures and assignments + R codes (own grade: 9.5)

Samenvatting van volledige lesmateriaal (hoofdstukken uit het boek per unit, maar ook video's en ander aanbevolen lesmateriaal). Test 1 Research Methodology and Descriptive Statistics, University of Twente, Universiteit Twente. Pre-master Business Administration

Research Methodology and Descriptive Statistics pre-master Communication Science Universiteit Twente. Samenvatting van de microlectures units: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 23 Cijfer behaald: 8,7

Samenvatting van het vak Predictive and Prescriptive Analytics (PPA) gegeven door professor Matthias Bogaert, jaar . Samengevat op basis van les + slides