1. Data Science Inleiding ................................................................................................................................. 4
1.1 Wat is data?.................................................................................................................................................. 4
1.1.2 Klassieke opdeling van data .................................................................................................................. 4
1.1.3 Andere, nieuwere opdeling van data .................................................................................................... 5
1.1.4 Big data ................................................................................................................................................. 6
1.1.5 Smart data ............................................................................................................................................ 7
1.2 Meetschalen of meetniveaus ........................................................................................................................ 7
1.2.1 De verschillende meetschalen .............................................................................................................. 8
1.2.2 Bepalen van de meetschaal .................................................................................................................. 9
1.2.3 Wat mag en wat mag niet? ................................................................................................................. 11
1.3 Discrete en continue variabelen.................................................................................................................. 13
1.4 Betrouwbaarheid en validiteit van data ..................................................................................................... 13
1.5 Hoe uit data informatie halen? ................................................................................................................... 15
1.5.1 Business Intelligence (BI) .................................................................................................................... 16
1.5.2 Data Analytics ..................................................................................................................................... 16
2 Data Science Processes .............................................................................................................................. 17
2.1 Wat is Data Science? .................................................................................................................................. 17
2.1.1 Data Science vs. Statistics vs AI vs ...................................................................................................... 17
2.1.2 Wat doet een data scientist (en wat doet hij niet)? ........................................................................... 18
2.2 De levenscyclus van een ‘Data Science’-project .......................................................................................... 18
2.3 Data Science Pipeline .................................................................................................................................. 19
2.3.1 Collecting Data .................................................................................................................................... 20
2.3.2 Data Engineering ................................................................................................................................. 20
2.3.3 Data Modeling .................................................................................................................................... 21
2.3.4 Information Distilation ........................................................................................................................ 21
3. Programmeren met Python ....................................................................................................................... 22
4. Data management .................................................................................................................................... 40
4.3 Inlezen van bestanden ................................................................................................................................ 42
4.4 Ontbrekende waarden ................................................................................................................................ 45
4.4.1 bij het inlezen...................................................................................................................................... 46
4.4.2 Bij het omzetten ................................................................................................................................. 47
4.4.3 Omgaan met ontbrekende waarden................................................................................................... 48
4.5 Verkeerde waarden wijzigen ...................................................................................................................... 49
4.5.1 Vervangen ........................................................................................................................................... 49
4.5.2 Delen vervangen ................................................................................................................................. 49
4.7 Datums en tijdstippen ................................................................................................................................. 52
4.8 Groeperen van data .................................................................................................................................... 53
4.9 Samenvoegen van data .............................................................................................................................. 54
5.2 De ruwe gegevens....................................................................................................................................... 56
6.2 De ruwe gegevens....................................................................................................................................... 70
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