AI TRAINING
Data literacy for non-data teams
Give business teams the data fluency they need to use AI tools responsibly and effectively.
What it covers
A literacy training that demystifies data for non-data professionals. Participants learn to read dashboards critically, spot bad statistics, ask better questions of data teams and use spreadsheets and BI tools to validate AI-generated outputs. Includes a section on what 'good data' means in the context of AI: completeness, freshness, lineage and bias.
What you'll be able to do
- Confidence to challenge bad numbers
- Better data briefs for analysts
- Sanity checks for AI outputs
Topics covered
- Reading dashboards critically
- Common statistical traps
- Asking better data questions
- Validating AI outputs with data
Delivery
Use the company's own dashboards as exercise material when possible.
What makes it work
- Co-facilitator from the data team
- Real internal dashboards as material
Common mistakes
- Making it too theoretical instead of practical
- Skipping the 'how to brief a data team' module
When NOT to take this
Don't use this as a substitute for fixing actually broken dashboards, fix the source data first.
Example providers
- Altitud Consulting
- OpenClassrooms
This page describes a training topic. It gives no price or duration: those depend on the provider and your team. The free diagnostic tells you which trainings your team needs first.