Winterschool in Data Analytics and Machine Learning
The “Fribourg Winter School in Data Analytics and Machine Learning” provides training in state-of-the-art quantitative tools for predictive and causal analysis. The winter school takes place in hybrid form, implying that participants can attend courses either in class (face-to-face) or online. Please note that the sessions will not be recorded. The one- to three-days-courses cover both introductory and more advanced topics, using the open source software packages “Python”, “R”, "Julia" and “Knime”. “Python”, “R” and "Julia" are among the most popular programming languages in data science and statistics, while “Knime” is a user-friendly, flow-chart based graphical interface that does not require any programming skills.
Ziele
Improve programming skills, possibility to solve Take-Home-Exams to gain ECTS.
Zielgruppe
The winter school is open to BA students, MA students, Ph.D. students, and academic researchers (such as post-docs and professors) at the University of Fribourg and at other universities or research institutions, as well as to employees of private companies and the public sector.
Kursverantwortliche und Referierende
Verantwortlich
- Huber Martin, Prof. Dr
Referierende
Prof. Martin Huber
Prof. Christian Kauth
Diploma Assistant Xenia Wietlisbach
Bemerkungen
Registration is only valid AFTER payment of the registration fee.
Eckdaten
Kosten | Flat rate for University of Fribourg students of CHF 90.- diverse Rates depending of number of modules and professional background from CHF 220.- to CHF 1720.- Details see here. |
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Typ | Seminar / Kurs |
Sprache | Englisch |