Data analysis - Samenvattingen en Aantekeningen

Summary advanced data analysis lectures and some exercises.

samenvatting van theorie groepswerk (KO) en te kennen inhoud voor het examen van het vak inleiding kwalitatieve technieken(IKA) van alle te kennen gegeven in 2e bach van communicatiewetenschappen (geslaagd 1e zit) Stevens, P. (2023). Qualitative data analysis : key approaches. Thousand Oaks (Calif.): SAGE Publications.

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).

A summary of the first half of the SDA lectures and syllabus, covering all the important topics for the first exam.

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 ...

This is a clear and comprehensive summary of factor analysis, which is half of the theory for the test of the WUR course 'Research Methods & Data Analysis' (YRM30806). Good luck with studying!

This is a practice exam for Multivariate Data Analysis (Leiden University) I made myself based on the exercise book, workgroups, and lectures of all seven weeks. It contains 30 multiple-choice questions that are as realistic as possible; there is a balance between calculations and theory. It is an excellent way to test your knowledge and understanding of the course before the exam. The answers can be found at the bottom of the document.

This is a very extensive summary of the course Human Breathomics (NWI-BM086). It contains information from the lectures, but also included images for better visualization. This summary will help you to receive a high exam grade. Good luck!

Overview of the most important things in the practicals of advanced data analysis including the take home assignment.

All lecture slides of the course Sport Performance Analysis of the minor Sport Science. Also includes personal notes + further explanations.