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Root number
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478568 |
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Semester
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HS2024 |
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Type of course
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Lecture |
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Allocation to subject
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Economics |
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Type of exam
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Written exam |
| Title |
Programming for Data Scientists I |
| Description |
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
Evaluation: online exercises, problem sets and written exam in English
Lecture: Tuesday, 10.15 - 12.00 , 220, H4
*** please note the lecture on December 3rd will take place in room A222, UniS ***
Exercises with assistant Marc Schranz (marc.schranz@unibe.ch) , bi-weekly, 101, H4
1st exam: Tuesday, December 17, 2024, 10.15 - 12.00h (105 min), 220, H4
2nd exam: Tuesday, February 11, 2025, 10:15 - 12.00h (105 min), tba |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Blaise Stéphane Melly, Department of Economics ✉
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ECTS
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4.5 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Tuesday 10:15-12:00 Weekly
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Monday 12:15-14:00 Fortnightly
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Tuesday 11/2/2025 10:15-12:00
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| Rooms |
Hörraum 101, Hauptgebäude H4
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Hörraum 220, Hauptgebäude H4
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| External rooms |
A222, UniS
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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