Data Literacy for Decision-Makers
Read a dashboard critically, spot a misleading chart, understand statistical significance well enough to not be fooled by noise, and ask the right follow-up question.
Taught by TAI Labs faculty bench
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TAI Labs faculty bench
Lead instructor
6 hours
Built to fit around work
4 modules
12 lessons
5 applied labs
Evidence, not just watching
Interactive course
Online
Built for real work
Leave with work you can show.
Every part of the course moves towards an applied result. You will practise the judgement behind the tools, build with them and finish with evidence of what you can do.
Spot a misleading chart before it changes a decision
Explain the difference between correlation and causation with a real example
Know when a sample size is too small to trust a result
Ask the follow-up question that separates real signal from noise
Who it is for
Right level. Clear expectations.
This is a beginner course for people who want to use the material, not collect another set of notes.
Manager
Use the exercises and final project in the context of your own role.
Director
Use the exercises and final project in the context of your own role.
Any decision-maker
Use the exercises and final project in the context of your own role.
Course syllabus
A complete path, not a content dump.
4 modules · 12 lessons · 5 applied labs · 6 hours.
- Ten ways a chart can mislead youVideo · 16m
- Correlation vs. causation, with real examplesApplied lab · 14m
- Knowledge check: Reading data criticallyKnowledge check · 10m
What learners say
Practical enough to use the next day.
Real, attributed feedback from people learning with TAI Labs.
“In just two live sessions I walked away with a reusable GTM playbook, launch templates, and the AI prompts to run every future launch faster.”
Irena Palamani Xhurxhi, PhD
Director of People Science · Walmart
“The asynchronous format made it easy to catch up and focus on the parts most relevant to my job — practical, and immediately useful.”
Alexandros Fragkos
Marketing Analytics Manager · Google
“In only four weeks we went from LLM basics to building our own production-grade app — multi-agent workflows, RAG with vector search, and real evaluation.”
Anette
Product Manager · Apple
Start with the course. Keep the bigger path visible.
Take this course on its own, use it inside the Career Accelerator, or bring a private version to your team. The right route depends on how much support and applied experience you need.