Data visualization - Samenvattingen en Aantekeningen

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 co...

Lecture 1: Definition and types of violence, Lecture 2: Violence victimization: its meaning and prevalence, Lecture 3: Victim recognition in the Criminal Justice System, Lecture 4: Data visualization, Lecture 5: Research violence, Lecture 6: Exploring sexual violence victimhood in men, Lecture 7: Gun violence, Lecture 8: Suicide, Lecture 9: Domestic Violence during COVID-10, Lecture 10: Biopsychosocial perspectives on violent offending, Lecture 11: Violence offending: Who offends and in what con...

Lecture 1: Definition and types of violence, Lecture 2: Violence victimization: its meaning and prevalence, Lecture 3: Victim recognition in the Criminal Justice System, Lecture 4: Data visualization, Lecture 5: Research violence, Lecture 6: Exploring sexual violence victimhood in men, Lecture 7: Gun violence, Lecture 8: Suicide, Lecture 9: Domestic Violence during COVID-10, Lecture 10: Biopsychosocial perspectives on violent offending, Lecture 11: Violence offending: Who offends and in what con...

This summary contains all the theory provided in the INFOMDWR course in 2022/2023. This includes elaborate description and practical examples of the concepts. This will help you preparing for the exam!

Summary of the following literature: 1. Edwards, M., & Edwards, K. (2019). Predictive HR Analytics: Mastering the HR Metrics (2nd ed). London: Kogan Page. Chapters 1, 2, 3, 4 & 12 (use other chapters to refresh your statistical knowledge and see applications of statistical tools on real HR problems) 2. Khan, N., & Millner, D. (2020). Introduction to People Analytics: A practical guide to Data-Driven HR. London: Kogan Page. Chapters 1, 2, 5, 6, 7 & 10 3. Cascio, W. F., Boudreau, J. W., ...

This summary contains everything from the lectures that you need to know for the endterm exam of RDS. It is made specifically for RDS in 2024. For the summary, I have used my own lecture notes and the lecture slides.

Beknopte samenvatting van de hoorcolleges van Introduction to Research in Marketing. De onderwerpen die worden behandeld zijn (op volgorde): data exploration & visualization, ANOVA, linear regression, logistic regression, factor analysis en cluster analysis. De structuur van de hoorcolleges is aangehouden om het studeren makkelijker te maken. Daarnaast wordt er veel met kleur en tabellen gewerkt, om de samenvatting zo beknopt mogelijk te houden.

College aantekeningen van HR analytics (inclusief afbeeldingen)

I wrote these notes for the course Big Data in Biomedical Sciences. I tried to write all the important information. Everywhere you read (EXAM QUESTION), this subject literally came back in my exam. I got an 8.1, I hope it helps others too!

Data Visualization & Measures of Central Tendency - CFA level 1 Eaxm note by Professor James Forjan, PhD, CFA