Data Science

Art des Abschlusses: 
Zertifikat
Dauer: 
4 weeks
Studienformat: 
Online-Kurs/MOOC
Sprache: 
English
Studienangebot: 
Akademische Weiterbildungsangebote ohne formalen Abschluss
Kosten: 
€3500
Allgemeine Zugangsvoraussetzungen: 
Keine Zugangsvoraussetzungen
Link zum Veranstalter: 
https://www.lll.tum.de/certifi...
Studienort: 
Munich
Lehrkraft: 
Prof. Ph.D. Claudia Czado
ECTS-Punkte: 
5 ECTS

Learn more about modern computational tools to manage, process, and visualize data

“Data Science” introduces modern computational methods to process and visualize data and to communicate results of data analyses. This comprehensive program combines the latest research results with findings and challenges from practice. Participants will learn about fundamental statistical principles, broadly useful statistical methods, state-of-the-art prediction methods from machine learning, and optimization and randomization tools that help them to tackle large-scale data-analytic problems.

Our experienced lecturers demonstrate the relevance of the developed skills in selected application examples. The hybrid format combines networking opportunities on campus with digital elements.

Fächergruppe: 
Informatik
Gliederung: 

Why this program?

In 2018, the volume of digital data generated worldwide was 33 zettabytes. This number is expected to increase to 175 by 2025.   More than ever, the essential challenge for companies and organizations is to gain knowledge out of this huge amount of data and to be able to make strategic decisions on its basis. Well-trained data scientists play a central role in this process.

Our unique certificate program was developed in close cooperation with professors from TUM's Department of Mathematics - one of Europe's leading institutes at the interface of mathematics and its applications - as well as with core members of the MDSI. Our experts support participants in building core business relevant competencies in Data Science – from developing profound methodological competencies to providing a deep understanding of statistical principles.

Benötigte Vorkenntnisse: 

Participants should have an educational background in mathematics, informatics, or a closely related field.

Zielgruppe: 

Professionals that wish to develop or deepen existing expertise in Data Science, as they eg currently hold or wish to gain a position as Data Scientist/Analyst in Consulting, Finance, Insurance or Tech Sectors, among others.