R: tidyverse for Data Science

R is a powerful, wide-spread and freely available language and environment for statistical computing and graphics.

This twelve-hour-course for intermediate R users focuses on the tidyverse, a collection of R packages for data science. The course is a mixture between brief presentations, demonstrations (on-screen, using R and RStudio) and supervised exercises (“learning by doing”).

Inhalt

dplyr - Data management & manipulation
ggplot2 - High-level visualisations ("The grammar of graphics")
purrr - Enhanced functional programming
tidyr - Helpers to create tidy data sets
readr - Fast and friendly data import/export
tibble - Modern data frames

Voraussetzungen

Basic knowledge of R, preferably attendance of the course "R: Basic Introduction". You should have an idea of the following expressions and be able to create/perform them in R: vectors, matrices, data.frames, indexing, high- and low level plotting functions for standard plots.

Teilnehmende

Students and employees of the University of Zurich. This course is particularly suitable for students at the BSc/MSc-level.

Kursunterlagen

Handouts will be distributed during the course. Furthermore, the book from Wickham und Grolemund (Wickham, Hadley; Grolemund, Garrett (2017): R for data science, import, tidy, transform, visualize, and model data, Sebastopol, O'Reilly) would help learners to deepen their understanding of R for data science. It is however no prerequisite for this course.

Durchführung

Kurs ARF 1

Freie Plätze:	0
Dauer:	2 Tag(e) / 12 Stunde(n)
Kursleitende:	Jan Wunder
Teilnehmerzahl:	Min: 7 Max: 20
Ort:	Anmeldung auf der Kollaborationsplattform Teams mit Ihrem UZH Account. Im Team "ZI - IT Fort- und Weiterbildungen" finden sie den Kanal Y10-E-25, ihren virtuellen Kursraum für diesen Kurs. Y10-E-25 (on Teams)
Datum/Zeit:	Donnerstag, 15. April 202110:00 - 17:00 Donnerstag, 29. April 202110:00 - 17:00
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Vor der Buchung beachten:

R: tidyverse for Data Science

Voraussetzungen

Teilnehmende

Kursunterlagen

Durchführung