Foundations
Core
Available on request
Data Literacy for the AI Era
You can't govern, buy or trust AI if you can't read what it's built on.
For the people who receive the dashboard and have to act on it, and who deserve to know what it is not showing them.
- Duration
- 3.5 days, 20 contact hours
- Cohort size
- 12 to 20 participants
- Delivery
- In-house, Online, Blended
- Languages
- Arabic, English
Who it is for
Managers, policy staff, and anyone who receives dashboards and has to act on them.
What people leave able to do
- Read a dashboard or report critically and spot what it's hiding
- Distinguish correlation from causation in the claims put in front of you
- Ask the right questions of a data or AI vendor before signing
- Understand bias, sampling and data quality in plain terms
- Brief a technical team on what you actually need
Modules
- 01 What data is and where it comes from
- 02 Reading charts honestly
- 03 Averages, distributions, and why the mean lies
- 04 Bias and representativeness
- 05 Data quality and provenance
- 06 How models learn from data
- 07 Evaluating vendor claims
- 08 Privacy and data protection basics
- 09 Asking better questions
Prerequisites
None.
Start with a short call
Fifteen minutes to understand what your team does and what you want to change. If training is not the right answer, I will say so.