Programa de 2 días consecutivos de 9:00-17:00.
Los participantes accederán a temas como:
(i)Data-driven Innovation
Self-definition and learning objectives
Data-driven decisions and projects
Self-Positioning on a Data Science process
Principles and motivations of data engineering and data science
(ii) Define and Realise a Data-centric Project
Formulation of a data-centric problem
Principles of data science project management
The Goal Poster methodology
Group work (part 1): Setting the goal
Data science metrics
Group work (part 2): Questions, metrics and actions
(iii)Data Visualisation & Data Storytelling
Visual and cognitive perception
Gestalt principles
Group work (part 3): designing a wireframe for the Goal Poster
(iv) Risks & Challenges of Data-centric Projects
Challenges and risks in data science projects
Group work (part 4): Data risks
Examples of data-driven projects»
