Learning objectives
By the end of the day
- Spot weak signals in a dataset faster
- Formulate hypotheses and test them with AI
- Turn an analysis into actionable insights
Programme
Course outline
- Frame an assisted exploratory analysis
- Detection of patterns, anomalies and correlations
- Formulating and testing hypotheses
- From analysis to actionable recommendation
- Workshop on a participants' dataset
Audience and prerequisites
Who it is for
Audience: Data Analysts, business analysts
Prerequisites: Data analysis basics. Occasional use of a GenAI tool.
Practical details
Format and funding
- On-site or remote, open sessions or in-house.
- 100% hands-on, on real cases brought by participants.
- Assessment of learning and certificate of completion.
- Qualiopi-certified training body: course eligible for OPCO funding.
This module is part of the Visian AI Training programme : 6 roles, 21 modules, taken individually or as a track.
