Objectives

1. Understand the advantages as well as the risks of relying on extensive data sources for decision-making
2. Identify data sources that would provide valuable input for a particular decision to be made
3. Choose data analysis methods to distill data into applicable insight

Training programme

Week 1 - Pre-requisites

Introduction: Frameworks for decision-making

Week 2 to 5 - Knowledge acquisition 

Week 2 - A new sort of data
Week 3 - Technology for big data
Week 4 - Data and decision-making
Week 5 - Perils of big data

Week 6 and 7 - Implementation through case study 

Week 6 - Case study in groups
Week 7 - Webinar (case study debrief)

Week 8 - Roadmap for action

Final assignment

Pre-required

No prerequisites required

Monitoring and evaluation

Quizzes and evaluations, group case study, exercises done individually

Technical and pedagogical means

• Distance learning and certification, with an eight-week format adapted to your operational constraints
• An immersive digital platform to access at any time a wide range of resources (courses, videos, articles...) and learn in complete freedom & mobility
• Pedagogy that encourage and facilitate interaction and collaboration between participants, through integration into a community of learners facilitated by the professor. Students carry out a case study in subgroups and benefit from a debriefing of the evaluation work
• A final assignment to facilitate transferring what you have learned in the course to your own job.