Basiskennis Study guides, Class notes & Summaries
Looking for the best study guides, study notes and summaries about Basiskennis? On this page you'll find 34 study documents about Basiskennis.
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Summary Quantitative Research Methods
- Summary • 24 pages • 2021
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Basiskennis Kwantitatief Onderzoek Beginners Basics for Quantitative Research Methods
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Summary Chapter 3 basic knowledge (Biology and Behavior)
- Summary • 23 pages • 2023
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Summary of chapter 3 basic knowledge. Fully transcribed, including images. Summary is in English just like the book. Including all terms.
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Summary of basic knowledge chapter 6 (Learning)
- Summary • 17 pages • 2023
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Summary of basic knowledge chapter 6. Complete and including images. Terms are also written out.
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Data Science 1 Inleiding Wouter Deketelaere
- Summary • 317 pages • 2022
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Data Science 1 Inleiding Wouter Deketelaere Data Science 1 Inleiding Wouter Deketelaere Kris Demuynck Herwig De Smet Roeland De Meester Maarten Heylen Quote van de week “All data has its beauty, but not everyone sees it” Damian Mingle Agenda • Waarom data Science? • Het vak Data Science • Situering • Klassiek (statistisch) onderzoek: onderzoeksfasen • Data Science - Aanpak • Software “Data Science - deel 1” Oe...
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Summary of chapter 7 basic knowledge (Memory)
- Summary • 18 pages • 2023
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Summary written out in full, with terms and images from chapter 7.
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Summary of chapter 10 basic knowledge (Emotion and Motivation)
- Summary • 16 pages • 2023
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Summary chapter 10. Fully written out, including terms and images.
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Summary of chapter 8 basic knowledge (Thinking, Decisions, Intelligence, and Language)
- Summary • 18 pages • 2023
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Summary written out in full, including terms and images.
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Chapter 3 Summary (Biology and Behavior)
- Summary • 23 pages • 2023
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Summary of chapter 3. Fully written out and including images.
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Chapter 14 Summary (Psychological Disorders)
- Summary • 28 pages • 2023
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Summary of chapter 14 with terms and images. Fully unsubscribed
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BW3 Data Science with R summary
- Summary • 16 pages • 2022
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Summary of the Structure and basic knowledge of working with the R software package and programming language for data analysis. Contents: > R and R studio: introduction, calculator, variable, projects, scripts > Data structures: install/use package, vectors, factors, list, formulas > Data manipulation: Tidyverse, data, tibble, select variables/cols, filter observations/rows, add/modify variables, pipe operator, summarise variables, groups, joining tables, reshaping tables > Gra...
