To main content To navigation

Computer Sciences

Statistical Methods for Data Science

When:

09 September - 13 September 2019

School:

Int’l Summer School on Data Science

Institution:

Center of Research Excellence for Data Science and Advanced Cooperative Systems

City:

Split

Country:

Croatia

Language:

English

Credits:

0.0 EC

Fee:

300 EUR

Interested?
Please note: this course has already ended
Statistical Methods for Data Science

About

The fourth edition of the school is organized following the successful first three editions. SSDS 2019 is a summer school offered to graduate students, researchers and professionals in the area of data science. The topic of SSDS 2019 is statistical methods for data science. The program consists of lectures taught by outstanding researchers in the field. The lecturers will present fundamental and advanced concepts. The program includes hands-on sessions, demonstrating practical aspects. SSDS 2019 program will include a poster session giving participants an opportunity to present and discuss their research results.

Course leader

General Co-Chairs: Sven Lončarić, University of Zagreb, Croatia Tomislav Šmuc, Rudjer Bošković Institute, Zagreb, Croatia

Target group

The audience will include doctoral students and postdocs and researchers and developers working in academia and industry.

Course aim

SSDS 2019 will concentrate on statistical methods for data science. The lecturers will present fundamental and advanced concepts. The program includes hands-on sessions, demonstrating practical aspects and giving the audience good start in further practical usage.

Fee info

Fee

300 EUR, Doctoral student

Fee

650 EUR, Professionals from industry

Interested?

When:

09 September - 13 September 2019

School:

Int’l Summer School on Data Science

Institution:

Center of Research Excellence for Data Science and Advanced Cooperative Systems

Language:

English

Credits:

0.0 EC

Visit school

Stay up-to-date about our summer schools!

If you don’t want to miss out on new summer school courses, subscribe to our monthly newsletter.