Intermediate Data Literacy

Build deeper, practical habits for AI-readiness in 30 minutes.
This builds on the first course, Introduction to Data Literacy, and goes further into ethics, trust, governance, analysis and visualization.
No jargon.  Real examples.  Short quizzes.
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Built on Databilities® and the Global Data Literacy Benchmark.

Learning Content

LESSONS

QUIZZES

Verified Credential

Outcomes

Act ethically

Apply data ethics across the entire lifecycle.

Trust your data

Check source, scope, transparency and consistency.

Govern well

Use people, processes and tools to safeguard quality.

Analyse and visualize

Adopt a simple process and use choose the right charts.

Decide with confidence

Make structured, transparent, data-driven calls.

Who this course is for

Looking for the next step in your data journey?
Leveling-up for AI?

This intermediate course is designed for anyone who reads, records, or relies on information to make decisions; from frontline staff through managers, so they can work with data confidently and responsibly.

The 4 pillars you'll master

  • Data Concepts and Culture
    • Focus: data ethics in practice.
    • Understand what data ethics is and why it matters.
    • Apply ethics across the data lifecycle: collect, access, report, share, dispose.
  • Reading Data
    • Focus: trust and integrity.
    • Determine whether data is trustworthy (source, scope, transparency, consistency, clarity).
    • Spot errors with a VIMO check (valid, invalid, missing, outlier).
  • Writing Data
    • Focus: data governance.
    • Learn what governance is and why every role shares responsibility.
    • People, processes, and tools - explained with simple analogies.
  • Comprehending Data
    • Focus: analytics, visualization, and decisions.
    • Learn and apply a consistent analysis loop.
    • Pick the right visuals and access best-practice tips.
    • Make structured, defensible, data-driven decisions.

What's included?

Practical resources that stick, with downloadable resources, quick checks, and a verified credential.

Micro-lessons,
built for busy days

Bite-size videos and reads you can finish between tasks.

Plain-language glossary

Clear definitions for the terms you see every day.

Quick quizzes

Short knowledge checks after each major section.

Progress tracking

Pick up exactly where you left off.

Real-world scenarios

A range of scenarios with skills you'll actually use.

Digital Credential

Show completion and signal capability to your team.

Frequently asked questions

Do I need to take 'Introduction to Data Literacy' course first?

It's recommended.  This course builds directly on the four dimensions introduced in 'Introduction to Data Literacy.

How technical is it?

No tools required.  You'll learn trust checks (including VIMO), governance basics, a simple analysis loop, and chart best-practice skills that transfer across roles.

What will I be able to do differently on Monday?

Apply ethics across the data lifecycle, run a quick trust and VIMO check, record data to shared standards, choose the right chart, and explain decisions clearly.

How long is it, really?

About 30 minutes, self-paced.

Is there a certificate?

Yes!  Complete the lessons and quizzes to earn a verified credential.

Does it help with decision-making?

You'll use a structured, transparent approach to make data-driven decisions you can explain.

Does it cover data visualization?

Yes, the course covers bar, line, pie/donut, scatter charts, and maps with practical do's and don'ts.

For organizations

Can managers see learner progress?

For enterprise rollouts, admin dashboards show enrollments, completion, and quiz outcomes.

Does it integrate with our LMS/SSO?

Enterprise packages support LMS deployment and single sign-on.  Contact us to learn more.

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