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Data March

DATA MARCH

Intensive course in data science and machine learning for students across all disciplines

We live in a world of data. Whether you are studying biochemistry or physics, art history or medicine, business studies or law: Data is generated in all subject areas and needs to be tamed.

This is where data science comes into play: In our intensive course "Data March," you will learn the basics of “taming" data and be introduced to the world of data analysis in a practical way. You will evaluate and interpret data sets and develop a deeper understanding of what data really means.

Whether for your studies or your professional future, this knowledge will give you a decisive advantage. Data Science strengthens your profile and opens up new opportunities for you.


What is the Data March?

The “Data March” is a course for newcomers to the world of data science and machine learning. Every year in March, you can expect four weeks full of practical projects and exciting content that can be perfectly integrated into the curriculum of your degree program.

And the best thing is: You decide how much you want to get involved. One, two, three, or four weeks - and receive 2, 4, 6, or 8 ECTS credits depending on how many weeks you choose to participate.


Why should you participate?

Career boost - Data science skills are more in demand than ever and open up numerous career opportunities for you.

Practical relevance - Apply your knowledge in numerous small projects.

Flexibility - Decide for yourself how deep you want to delve into the subject matter.

Networking - Learn together with students from different subject areas.



Key data

Teaching format Intensive course
Venue In-class course in lecture hall H401 (Bajuwarenstr. 4) at the University of Regensburg
ECTS credits 2 per week, i.e., 2, 4, 6, or 8 depending on attendance
Prior knowledge No prior knowledge required. A-level knowledge is sufficient.
Enrollment Via the SPUR campus portal
Dates March 3 - 28, 2025
Mon - Fri 8 a.m. - 12 p.m. c.t. and 2 p.m. - 6 p.m. c.t.
Duration 1, 2, 3, or 4 weeks depending on your interest
Teaching language English
Number of participants 80 spots available on a first-come-first-served basis
Examination Written examination consisting of up to four 30-minute examination units (each covering the content of one of the four weekly blocks). The four examination units can be taken independently of each other.


Program

The individual weeks build on each other, but can also be completed separately if you have the relevant prior knowledge.


Week 1:

Coding - Learn the basics of the Python programming language and how to apply it in data science.

Lecturer: Prof. Dr. Rainer Spang


Week 2:

Sampling - Understand the essentials and use them directly in practical projects.

Lecturer: Prof. Dr. Florian Erhard


Woche 3:

Inference - Dive into the world of data analysis and learn important techniques, such as exploration, hypothesis testing, and regression.

Lecturer: Prof. Dr. Thomas Jaki


Week 4:

Machine Learning - Discover how machines learn and apply this knowledge in exciting projects.

Lecturer: Prof. Dr. Merle Behr



Any more questions?

Student advisory service "Data Science at UR"

Study Affairs Coordinator

Ulrike Allouche

Phone: +49 941 943-5097

Email: studienberatung.ds@ur.de


Faculty of Informatics and Data Science

FIDS