478568-HS2025-0-Programming for Data Scientists I





Root number 478568
Semester HS2025
Type of course Lecture
Allocation to subject Economics
Type of exam Written exam
Title Programming for Data Scientists I
Description *** IMPORTANT ***
For the most updated administrative course information (date changes, room changes etc) please always refer to the KSL page only and not to the Info page in ILIAS – the ILIAS infopage will not be updated!

This course teaches you how to program in R and use R for effective data analysis. We will cover the following topics:
1) Getting started with R and RStudio
2) Data structures
3) Programming Tools
4) Data import
5) Data visualization
6) Models
7) Tidyverse
8) R Markdown
You must bring your own laptop to the lectures and the exam. R and RStudio are free.

Suggested textbooks: We do not follow a single textbook during the semester but will provide specific references for each part of the course. The following books are particularly useful and are freely available on the internet:
- Hands-On Programming with R by Grolemund
- R Cookbook by Long and Teetor
- R for Data Science by Wickham and Grolemund
- R Programming for Data Science by Peng

Language: English

Credits: 3 SWS / 4.5 ECTS

Prerequisites: none



Lecture: Tuesday, 10.15 - 12.00 , tba

Exercises with assistant Jonas Heim (jonas.heim@unibe.ch),
Fridays, 10.15-12.00hrs, bi-weekly, tba


1st exam: Tuesday, December 16, 2025, 10.15 - 12.00h (105 min), tba
2nd exam: Tuesday, February 10, 2026, 10:15 - 12.00h (105 min), tba
ILIAS-Link (Learning resource for course) No registration/deregistration in CTS (Admission in ILIAS possible). ILIAS
Link to another web site
Lecturers Prof. Dr. Blaise Stéphane MellyDepartment of Economics 
ECTS 4.5
Recognition as optional course possible Yes
Grading 1 to 6
 
Dates Tuesday 10:15-12:00 Weekly
Friday 10:15-12:00 Fortnightly
Friday 10/10/2025 10:15-12:00
Friday 24/10/2025 10:15-12:00
Friday 7/11/2025 10:15-12:00
Friday 5/12/2025 10:15-12:00
Tuesday 10/2/2026 10:15-12:00
 
Rooms
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.