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

Omiros Papaspiliopoulos
PHD, LANCASTER UNIVERSITY
ICREA-UPF AND BARCELONA GSE

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.

Next edition TBA

Email us for information about upcoming courses.

Schedule
Day 1
Time Session Keywords
9:30-12:45 Programming with Python data types, functions, iterates, objects, classes
15:00-18:15 Data analysis with Python pandas, database management, groupby, merge
Day 2
Time Session Keywords
9:30-12:45 Supervised learning sklearn, linear models, predictive performance, cross-validation and information criteria, regularization, lasso, multiclass classification, optimization algorithms, trees, ensembles, boosting
15:00-18:15 Unsupervised learning PCA/SVD, matrix factorization, latent semantic analysis, clustering, topic models
Faculty

PhD, Lancaster University

ICREA-UPF and Barcelona GSE

PhD (Environmental Engineering), Universitat de Lleida

Barcelona GSE Data Science Center

Master's in Data Science, Barcelona GSE

PhD Student, UAB
Participant profile

The course is addressed to:

Master and PhD students
Professionals
Researchers and academics 
Testimonials
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Konstantinos Pouliakas, Expert at CEDEFOP pplied.

Special discounts are not cumulative.

Confirmation

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