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  2. ADS: Fundamental Techniques in data science with R

ADS: Fundamental Techniques in data science with R

201900026

Over deze cursus

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Leerresultaten

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Voorkennis

You should be familiar with the basic principles of applied statistics (up to regression). Some familiarity with interpreting basic statistical software output (such as e.g. SAS/STATA/SPSS, JASP) is required. Some familiarity with a scripting or programming language, such as SPSS syntax, R or Python is desirable, but not necessary.

Bronnen

  • Literature Parts from the freely available text: Speekenbrink (2023) Statistics: Data analysis and modelling https://mspeekenbrink.github.io/sdam-book/index.html
  • Literature Parts from the freely available text: Wickham. R for Data Science (2023). O’Reilly. https://r4ds.hadley.nz/
  • Literature Additional literature and references are provided during the course
  • Software All software used (Rstudio, R) is open source and freely available online, as is the mandatory literature.

Aanvullende informatie

cursus
7.5 ECTS • broadening
  • Niveau
    bachelor
Als er nog iets onduidelijk is, kijk even naar de FAQ van Utrecht University.

Startdata

  • 10 nov 2025

    tot 23 jan 2026

    LocatieUtrecht
    VoertaalEngels
    Periode *Blok 2
    Monday 13:15 - 14:00, Monday 13:15 - 15:00, Monday 13:15 - 16:00, Monday 13:15 - 17:00, Monday 14:15 - 15:00, Monday 14:15 - 17:00, Monday 14:15 - 18:00, Monday 15:15 - 16:00, Monday 15:15 - 17:00, Monday 15:15 - 19:00, Monday 16:15 - 17:00, Monday 16:15 - 19:00, Monday 17:15 - 18:00, Monday 17:15 - 19:00, Monday 18:15 - 19:00, Tuesday 13:15 - 14:00, Tuesday 13:15 - 15:00, Tuesday 13:15 - 16:00, Tuesday 13:15 - 17:00, Tuesday 14:15 - 15:00, Tuesday 14:15 - 17:00, Tuesday 15:15 - 16:00, Tuesday 15:15 - 17:00, Tuesday 16:15 - 17:00, Thursday 09:00 - 09:45, Thursday 09:00 - 10:45, Thursday 09:00 - 11:45, Thursday 09:00 - 12:45, Thursday 10:00 - 10:45, Thursday 11:00 - 11:45, Thursday 11:00 - 12:45, Thursday 12:00 - 12:45
* Bekijk rooster informatie van Utrecht University