| Titel | Zeit | Ort | Dozent |
|---|---|---|---|
| R for Data Science | 17.06.2025 10:00 - 15:00 (Di) | TUM Graduate School: Boltzmannstraße 17, 85748 Garching bei München, Room 102 | Dr. Stephan Haug |
| R for Data Science | 18.06.2025 10:00 - 15:00 (Mi) | online | Dr. Stephan Haug |
| R for Data Science | 24.06.2025 10:00 - 15:00 (Di) | online | Dr. Stephan Haug |
| R for Data Science | 25.06.2025 10:00 - 15:00 (Mi) | online | Dr. Stephan Haug |
Keywords:
Introduction to R, data management, visualisations, tidyverse, data science
Beschreibung Kursinhalt:
In this learning-by-doing course, the participants will be introduced to how to get started in R. In particular, the course will give a guide into the tidyverse, a collection of R packages designed for data science. After introducing each topic, the participants will work on hands-on exercises.
Lernziele:
- Being able to use the base R system
- Know the options available in the tidyverse
- Being able to do data management steps using dplyr
- Being able to create visualisations using ggplot2
- Know how to import data with readr
Lehrmethoden:
Presentation of topics, Hands-on exercises sessions
Der Kurs ist für Promovierende in folgender Phase geeignet:
At the beginning of the doctorate │ during the doctorate
Teilnahmevoraussetzungen:
None.
Technische Voraussetzungen:
Please bring your laptop.
Kursvorbereitung:
- install R from http://www.r-project.org
- install RStudio from http://www.rstudio.com
- check if you are able to install add-on packages by installing the (collection of) package(s) tidyverse
Sonstige Informationen:
None.
Das sagen Teilnehmende über den Kurs:
- Hands on course, lots of possibilities for exercising and learning by doing, very good support of the lecturer.
- The individual tasks to solve were helpful to learn and internalize the learned and learn some new tricks.
- The exercises were very useful and the course had a good set-up in general (room, small group, teacher helping with small bugs straight away).
Kategorie:
Fachübergreifende Veranstaltung
Art der Veranstaltung:
Seminar/Workshop
Veranstalter:
Graduate School Geschäftsstelle
Verantwortung für Veranstaltung:
Hauptverantwortung
Durchführung/Format:
Hybrid
Sprache:
EN
Maximale Teilnehmendenzahl:
10
Minimale Teilnehmendenzahl:
1
Umfang in Stunden:
16
Kosten:
45 Euro
Trainer:
Dr. Stephan Haug
Dr. Stephan Haug is head of statistical consulting at TUM and member of the Mathematics Department. He has been teaching R courses in different variations for the TUM Graduate School since 2010.