Foundations of Data Science

Learn with our expert faculty

facultyChristian Brownlees
PhD, University of Florence
UPF and BSE

Director
facultyAndré B.M. Souza
PhD, UPF
Assistant Professor, ESADE

Instructor

Course overview

Over the last decade the world has witnessed a surge in the amount of data available for decision making. The availability of large and complex datasets has lead to the widespread use of machine learning methods to extract and process information in both the academia and industry.

The Barcelona School of Economics Foundations of Data Science Intensive Course provides participants with a practically oriented overview of the state-of-the-art tools employed in data science tasks.

The course is composed of three units that guide participants through the process of converting raw data into actionable insights:

  • First, participants are introduced to topics in data handling and visualization.
  • Second, the course covers some of the most relevant Supervised Learning tools, ranging from linear models such as LASSO, Ridge and Elastic Net to nonlinear models, such as Decision Trees, Random Forests and Boosting.
  • Finally, participants are introduced to the main concepts and tools for dealing with unsupervised learning problems, such as clustering algorithms and Principal Components Analysis.

Built around Jupyter Notebooks, the course offers participants the opportunity to improve their programming skills in both Python and R, the most widely used programming languages in Data Science.

CODING KNOWLEDGE REQUIRED

Those with no experience in either R or Python, or who haven’t used either for a while, must also register separately for the course Coding Bootcamp in Python and R, which will be conducted online on Friday, April 29.

INTENSIVE COURSE

Foundations of Data Science

Applications will open soon!
  ONLINE FACE-TO-FACE
Regular Fee 1300 € 1400 €
Reduced Fee 700 € 800 €

10% early-bird discount applies to payments made on or before March 28, 2021 at 23:59 (CET)

See below for reduced fee eligibility


Early-bird payment deadline: March 28, 2021

  ONLINE FACE-TO-FACE
Regular Fee 1300 € 1400 €
Reduced Fee 700 € 800 €

10% early-bird discount applies to payments made on or before March 28, 2021 at 23:59 (CET)

See below for reduced fee eligibility


Last day to apply: April 25, 2021

  ONLINE FACE-TO-FACE
Regular Fee 1300 € 1400 €
Reduced Fee 700 € 800 €

10% early-bird discount applies to payments made on or before March 28, 2021 at 23:59 (CET)

See below for reduced fee eligibility

This edition is closed. Next edition TBA.

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