Mohamed A. Adel.

Suggested order

Complete Data Analysis first for the best foundation.

View Data Analysis →
++++FREE LEARNING PATHDATA VISUALIZATIONDATA VISUALIZATIONTHE COMPLETELEARNING PATHSee how the parts add up.motif / donut21%9300 · 0 · MODULE 1.3

Free learning path

Data Visualization Roadmap

The complete learning path overview — follow these phases in order.

11 lessonsFirst lesson · 1 Week100% free
Start learning — Lesson 1
++++FREE LEARNING PATHDATA VISUALIZATIONDATA VISUALIZATIONDATA VISUALIZATIONROADMAPThe complete learning path overview — follow these…BEGINNER → ADVANCEDFULL PATHmotif / donut25%9355 · 55 · MODULE 4.4

How this path works

11 lessons · 3h 30m total · 100% free

Sequenced topics take you from first concept to finished skill. Follow the order — every lesson assumes the previous one — and finish each phase before moving on. Each lesson ends with a mini project and a knowledge check so you always know you are ready for the next step.

  • Learn in order

    Phases build on each other — no skipping ahead.

  • Practice as you go

    Every lesson has hands-on work, not just theory.

  • Prove it

    Mini projects and checks mark what you've mastered.

Phase 1

Fundamentals

1

Visualization Fundamentals

1 Week
2

Chart Types & When to Use Each

1–2 Weeks
3

Design Principles & Honesty

1 Week
4

Phase 1 Exam — Visualization Fundamentals

60 min

The core concepts and vocabulary you'll carry through the whole path. Short, confidence-building lessons that settle the foundation.

  • Speak the language — key terms, tools and the mental model
  • Complete your first guided walk-through end to end
  • Build a small reference example you can reuse later
Start Phase 1 — Visualization Fundamentals
Phase 2

Intermediate

1

Color Theory & Accessibility

1 Week
2

Dashboard Design

1–2 Weeks
3

Data Storytelling & Narrative

1 Week
4

Phase 2 Exam — Color, Dashboards & Storytelling

75 min

Real methods and tooling now: structured workflows, sharpened skills, and projects that mirror daily work.

  • Apply the real workflow used in the field, step by step
  • Produce your first realistic deliverable from raw input
  • Refine with feedback loops and self-review checks
Start Phase 2 — Color Theory & Accessibility
Phase 3

Advanced

1

Tools Deep Dive (Tableau, Power BI, Python)

2–3 Weeks
2

Portfolio Projects & Career

1 Week
3

Phase 3 Exam — Advanced Tools & Career

75 min

The production-grade layer: do it well at scale, communicate it clearly, and earn the right to call it done.

  • Handle edge cases and quality checks the way pros do
  • Package results into a clear story for non-experts
  • Finish the capstone-style exercise and audit your output
Start Phase 3 — Tools Deep Dive (Tableau, Power …

You're ready

You finished Data Visualization

That's the full path — 11 sequenced lessons covering every phase. Your next move is the next linked path, which builds directly on what you just learned.

Next path: Data Analysis overview →
← All Data Visualization pages