Thinking with Data

Learn with our expert faculty

facultyChristian Brownlees
PhD, University of Florence
UPF and BSE

Director
facultyMohammad Ghaderi
PhD, ESADE
UPF and BSE

Instructor

Course overview

More and more companies turn to big data and artificial intelligence to improve firm performance, but many initiatives produce dissapointing results. A key reason for failure is that companies do not fully appreciate the role of human intelligence. They focus too much on machines and their algorithms and not enough on humans and their intuitions. 

This 10-hour online course provides an introduction to data-driven, decision-making and decision-driven data analytics. 

Learn to skillfully interrogate data, understand the benefits, limits and threats of using and misusing data analytics 

During this course you will learn:

  • What distinguishes human from artificial intelligence
  • To question your intuitions, and develop a habit to start thinking with data
  • To recognize and avoid the most important cognitive biases that can interfere with good data-driven decision-making
  • When explanation is essential for decision-making
  • Why simple statistical models are often desirable

Learn to work with and extract useful insights from real data

This course will be taught online, but it will be live and interactive: theory will be followed by in-class discussions and real-case analyse.

INTENSIVE COURSE

Thinking with Data

Applications will open soon!
  ONLINE
Regular Fee 950 €
Reduced Fee 550 €

10% early-bird discount applies to payments made on or before January 27, 2023 at 23:59 (CET)

See below for reduced fee eligibility


Early-bird payment deadline: January 27, 2023

  ONLINE
Regular Fee 950 €
Reduced Fee 550 €

10% early-bird discount applies to payments made on or before January 27, 2023 at 23:59 (CET)

See below for reduced fee eligibility


Last day to apply: February 22, 2023

  ONLINE
Regular Fee 950 €
Reduced Fee 550 €

10% early-bird discount applies to payments made on or before January 27, 2023 at 23:59 (CET)

See below for reduced fee eligibility

This edition is closed. Next edition TBA.

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