Data Literacy
The critical eye for every chart and report
Your people increasingly use AI to produce their own analysis, but a chart only helps if the reader can interpret it and challenge it. Data Literacy builds that critical eye.
What You Will Learn
A practical, instructor led day that moves from understanding what a visual is actually showing you to spotting what is unusual or misleading.
Reading a report
A shared vocabulary
Pages, visuals, slicers and filters: a clear mental model for navigating any report.
Reading the right visual
Ask the right question
What question each type of visual answers, what it doesn’t, and how to read it correctly.
Patterns and outliers
Spread, shape and centre
Understanding distributions in plain language and spotting what is unusual.
Misleading visuals
Avoid wrong conclusions
Truncated axes, false correlations, cherry picked ranges and other common traps.
Checking the analysis
Including AI’s
Questioning analysis rather than accepting it, and validating AI output against the underlying data.
At a glance
- Instructor led
- One day
- Cohorts of up to eight
- Online or in person
- All knowledge users
Book Data Literacy and Data Storytelling together as the two day Reading the Story in Your Data course.
Why It Works
Realistic reports
Hands on
Delegates practise on realistic multi visual reports, not abstract theory.
No tool skills needed
For every knowledge user
Built for the people who read reports and make decisions from them, whatever their role.
Small cohorts
Up to eight people
Plenty of discussion and individual attention, online or in person.
Course Details and Pricing
Pricing depends on the number of delegates and the format, so we quote for each cohort.
| Format | Instructor led, online or in person |
|---|---|
| Length | One day |
| Cohort | Up to eight delegates |
| Audience | All knowledge users |
| Price | On request |
Book Data Literacy and Data Storytelling together as the two day Reading the Story in Your Data course. Every course can also run privately for your team; ask us for dates.
Where It Fits
Data Literacy is the second stage of the data skills lane: the critical thinkers who can question the analysis AI produces instead of blindly trusting it.
- 1Data Foundations
- 2Data Literacy
- 3Data Storytelling
- 4Self Service Power BI or Qlik
Next: Data Storytelling · Explore the full Data & AI Fluency pathway
Register Your Interest
Register your details and we will contact you to confirm dates, numbers and pricing.
Let’s Connect
Schedule a Call
Book a call with a senior consultant to plan Data Literacy for your teams.