Motivation
«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 talent and practical applications to 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 Milan edition where prof. Marco Brambilla and Emanuele Della Valle covered the theoretical [T] parts, Francesco Mapelli and Gianluca Ripa gave the inspirational keynotes [I] and participants performed the workgroup activities [W] with the support of Marco Balduni.
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
- 9:15 Framing a Data-centric problem [slides]
- 9:45 Principles and methods for data science from a buiness perspective:
- 11:00 Break
- 11:00 Techniques in business case [assignment] [W]
- 12:30 Lunch
- 13:15 Risks and challenges in data centric projects [T] [slides]
- 15:00 Break
- 15:30 Challenges in business case [W] [photos: data-risks-1,data-risks-2]
- 16:30 Reporting on business cases [W] [photos: result-1, result-2, result-3, result-4, result-5, result-6]
- 17:00 Key note by Gianluca Ripa (CEFRIEL) [T] [slides]
- 17:30 Closing