Data Science for Business (Milan Q4/2019)


«Many organizations focus on the need for data scientists. But another equally vital role is that of the business translator who can serve as the link analytical talentand practical applicationsto business questions

Target of the course

  • No technicalities or programming skills
  • Aimed at informed decision making on data driven projects
  • Strategic planning, project management,
  • product development, team management,
  • buy or make decisions

Agenda & Material

The course covers two days with a mix of inspirational, theoretical, and workgroup activities. The material refers to the Amsterdam edition where prof. Marco Brambilla and Emanuele Della Valle covered the theoretical [T] parts, Francesco Mapelli gave the inspirational keynotes [I] and participants performed the workgroup activities [W].

Day 1

  • 9:15 Welcome [slides]
  • 9:30 Self-Definition and Learning Goals [W]
  • 9:45 Keynote: Data Driven Decision and Projects [I] [slides]
  • 10:45 Break
  • 11:00 Self-Positioning [W]
  • 11:15 Principles and motivation of big data and data science [T] [slides]
  • 12:30 Lunch
  • 13:30 Principles of data science project management [T] [slides]
  • 14:30 Business case method [T] [slides]
  • 15:00 Business case – Part 1 [T+W] [photos: working]
  • 15:30 Break
  • 15:45 Business case – Part 2 [W] [photos: goal-posters]

Day 2

To be held on January, the 23 2020.


This is copy of the Webpage originally published on the Website of the Big Data Science group of DEIB – Politecnico di Milano.