Data Science Winter School

Course overview

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.

faculty 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.

Key benefits

Participants will get a quick, condensed and hands-on introduction to programming and data analysis with Python, fundamental methods in modern Statistics and Machine Learning and the tools in Python for implementing them.

Course dates:
January 10-11, 2020

Apply for this course

Early-bird payment deadline: December 11, 2019

See below for reduced fee eligibility or email us to request more information

See what participants had to say about the 2019 edition of this course

Schedule

Schedule for next edition may vary. Times are approximate.

Day 1

Time	Session	Keywords
9:30-12:45	Programming with Python	data types, functions, objects
15:00-18:15	Data analysis with Python	pandas, database management, seaborn

Day 2

Time	Session	Keywords
9:30-12:45	Supervised learning	sklearn, linear models, cross validation, regularization, lasso, trees, ensembles, boosting
15:00-18:15	Unsupervised learning	clustering, latent variables: factors, independent component analysis and matrix factorization, topic models

Participant profile

The course is addressed to:

Master and PhD students
Professionals
Researchers and academics

Testimonials

Konstantinos Pouliakas, Expert at CEDEFOP

As a researcher/professional of an EU agency, I was in need of a fast and succinct introduction to the principles of Machine Learning and Data Science. The course was very rigorous and covered targeted material and Python programs that may act as a springboard for more reading and learning on the topic...The course did a good job highlighting to potential Data Scientists that one needs rigorous theoretical understanding of the behavioral models, as opposed to simply programming some lines of code. I would highly recommend the course to professionals who, like myself, do not have the luxury of time due to family or other constraints to attend lengthy courses and lectures.

Liudmila Alekseeva, PhD Candidate in Finance, IESE

I enjoyed the Barcelona GSE Data Science Winter School, it met all of my expectations. The course gave an excellent overview of the theory and methods in Data Science with the use of Python. Intensive lectures, practical examples, and three individual projects that we had to complete during the course made the learning process very effective. I also appreciate that the professor not only gave us tools, but also explained the theory underlying them and the potential problems related to their implementation. After this weekend I did not become a professional data scientist in Python at once, but the course gave me a fast start and a great motivation to continue developing in this field.

Fees

Covers the tuition of all sessions and one-hour test

Category	Early-bird Registration and Payment (until 11 Dec 2019)	Fee (until 2 Jan 2020)
Companies and institutions	1400€	1750€
Students	1000€	1250€
Barcelona GSE community (Alumni of Barcelona GSE Master's programs, GPEFM/IDEA students)	-	email us for special pricing

NOTE: Early-bird registration fee will only be applied if payment is received before December 11. After December 11, regular fee will be applied.

Special discounts are not cumulative.

Confirmation

No participant will be given access to the course unless s/he is officially registered and has paid the full course fee before the deadline (subject to seat availability and notified by the Admissions Office accordingly). Therefore, a place for the course is guaranteed only upon full payment of the course fees.

If a sponsor (participant's employer or university) is covering the course fees, the participant must provide their details in the application and specify if an invoice issued in advance will be required to arrange the payment.

Upon successful confirmation of payment, an email will be sent to the participant acknowledging receipt of the course fees and, therefore, confirmation of course registration.

Cancelation

All cancelations must be received in advance by email. Participants wishing to withdraw from the course will have their course fees totally or partially refunded according to the following policies:

Until December 11, 2019: Full refund, except for 200€ to cover administration and admissions expenses.
Between December 11, 2019 and January 1, 2020: 50% of the course fee charged.
From January 2, 2020: No refund.

All refunds will be processed after the course and confirmed by email.

The Barcelona GSE reserves the right to cancel the course if the minimum number of participants is not met.

Accommodation

Please note that participation fees do not include accommodation expenses. Participants must make their own accommodation arrangements. Information and accommodation options are available on the accommodations page.

Barcelona GSE Data Science Center: leading Data Science in Barcelona

Barcelona has become a hub for Analytics and Data Science within Europe, with many major companies establishing or relocating their Analytics teams in the city. The Barcelona Graduate School of Economics launched the Barcelona GSE Data Science Center in 2016 to boost a wide range of activities in this scientific area, consolidating its role as the academic point of reference related to this emerging field, by training many highly talented people, as well as promoting frontier research in Data Science.

In addition to the Winter School, the Center's education offer includes:

A nine-month Master's Degree in Data Science
A popular Data Science Summer School
Intensive Data Science workshops offered on campus, on client premises, or via streaming

To learn more about these programs, as well a cutting-edge research and consulting services provided by the Center, visit the Barcelona GSE Data Science Center website