R: tidyverse for Data Science

Oct 26-27, 2023

Dr Catherine Suarez, UNIGE

Dr Jan Wunder, Wunder Consulting Wald (ZH)

Objectives

Participants will be able to apply the R tidyverse, a powerful collection of R packages for data science, to analyse their own data sets.

Particularly, there are going to learn:

• the underlying common philosophy, data structure and grammar of the tidyverse packages.
• the application of its fast and efficient libraries for data management, high-level visualisation, functional programming, date-time parsing and many more applications.
  

Content

This two-day course for intermediate R users focuses on the tidyverse, a collection of R packages for data science.

We are going to focus on the two key packages dplyr ("The grammar of graphics") and ggplot2 ("The grammar of graphics") plus several more such as purrr (enhanced functional programming), tidyr (helpers to create tidy data sets), readr (fast & friendly data import/export), tibble (modern data frames), lubridate (easy and fast parsing of date-times) and forcats (tools for working with categorial variables).

The course is a mixture between brief presentations, demonstrations (on-screen, using R and RStudio) and supervised exercises ("learning by doing").

Requirements for attending and completing the workshop

Familiarity with R before attending the workshop or previous attendance of an introductory course to R.

Bring your own laptop to the workshop with recent versions of R and R-Studio installed. Upon arrival, make sure that your laptop is properly connecting to the University of Geneva's wifi or eduroam WLAN.

Course completion requirements:

• Attendance - Presence and active participation is required during the entire course.
• Home work - Participants are required to hand in a homework consisting of several exercises by Nov 24.

Please, reserve a day after the course for the completion of the homework.

9:15 AM - 12:00 PM

Lunch break

13:00 PM - 4:30 PM

University of Geneva

Map

When?
Oct 26-27

Where?
University of Geneva, Sciences II
Room 4-419

Questions?
Catherine Suarez
@: [email protected]

Travel
PhD students of the CUSO DPEE are eligible for the reimbursement of incurred travel expenses by train (half-fare card, 2nd class). Claims can be done online via MyCUSO when the activity is over.

Fees
CUSO members: Free

Registration deadline: 11.10.2023

12 spaces

Important! >> Late cancellations (after 11.10.2023) or 'no-show': 100 CHF administrative fee

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