Data Science Winter School (Professional Qualification)

Spain

For more information about Data Science Winter School at Barcelona Graduate School of Economics, please visit the webpage using the button above.

The award
Professional Qualification

How long you will study
2 days

Domestic course fees
find out

How you will study
full-time

Course starts
January

International course fees
EUR 1000 per total

All study options

About Data Science Winter School at Barcelona Graduate School of Economics

The Barcelona GSE Data Science Winter School provides training in data analysis and machine learning with Python.

This is an intensive 12-hour course that takes place in four 3-hour sessions at the Barcelona GSE's Ciutadella Campus.

The approach is hands-on using Jupyter notebooks. All material is motivated by specific information retrieval and data analysis questions, and each thematic unit concludes with a small project.

The course is evaluated by a 1-hour test that will be carried out at the end of the course.

Course director and lecturer

The course will be delivered by Prof. Omiros Papaspiliopoulos, in collaboration with Data Scientists affiliated to the Barcelona GSE Data Science Center.

Professor Papaspiliopoulos is ICREA Research Professor at UPF and Director of the Barcelona GSE Data Science Center. He is also the Scientific Director of the Barcelona GSE Master's Degree in Data Science. His research has appeared in the top journals in Statistics, including several articles in the Journal of the Royal Statistical Society Series B, Biometrika and the Annals of Statistics. He has been an Associate Editor for the first two journals and a Deputy Editor for Biometrika. He has delivered more than 80 invited talks, and has given courses at ENSAE in Paris, the Berlin Mathematical School, the Department of Mathematics at University of Copenhagen, and the Engineering Department at Osaka University. In 2010 he was awarded the Royal Statistical Society's Guy Medal in Bronze. His research interests include Monte Carlo Methods, Computational Methods, Bayesian Statistics, Stochastic Processes, Machine Learning.

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardProfessional QualificationHow you will studyFull-timeHow long you will study2 days
    Course startsJanuaryDomestic course fees find outInternational course feesEUR 1000 per total

Entry requirements

Contact Barcelona Graduate School of Economics to find course entry requirements.

What students think about Barcelona Graduate School of Economics

    Shukya Kiroga, Class of 2018

    Testimonial from Shukya Kiroga, Class of 2018, student at Barcelona Graduate School of Economics

    "This is an interestingly technical and a highly intensive Master's program for anyone who wants to broaden and deepen their understanding of firms' operations and welfare considerations in a regulated and competitive environment… The course challenged every bit of my thinking."

    Karina Colombo, Class of 2018

    Testimonial from Karina Colombo, Class of 2018, student at Barcelona Graduate School of Economics

    "Studying at the Barcelona GSE has been one of the most rewarding academic experiences I've had. It is a very intense master with top quality professors, encouraging you to give your best throughout the program. It has a unique combination between policy oriented theory and extremely applied work, specially in quantitative courses."

    Richard Knudsen, Class of 2018

    Testimonial from Richard Knudsen, Class of 2018, student at Barcelona Graduate School of Economics

    "To me, the Barcelona GSE Master's in Data Science clearly holds its promise of being one of the world's finest programs for Data Science in a Social Science environment. Backed by world-class research, the lectures are academically rigorous and demanding, but also carefully contrasted with hands-on practices delivered by experts from the industry."

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