Mohamed A. Adel.
++++FREE LEARNING PATHDATA ANALYSISDATA ANALYSISA PRACTICAL ROADMAPTO BECOMING AOne practical step at a time.motif / steps✓✓✓8354 · 54 · MODULE 3.2

Free learning path

Data Analysis Roadmap

A practical roadmap to becoming a job-ready Data Analyst — from data fundamentals and Excel to SQL, statistics, Power BI, Python, and real-world projects.

14 lessonsFirst lesson · 1 Week100% free
Start learning — Lesson 1
++++FREE LEARNING PATHDATA ANALYSISDATA ANALYSISDATA ANALYSISROADMAPA practical roadmap to becoming a job-ready Data An…motif / steps✓✓✓9355 · 55 · MODULE 4.4

How this path works

14 lessons · 3h 45m 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

Data Analysis Basics

1 Week
2

Excel for Data Analysis

2–3 Weeks
3

SQL

2–3 Weeks
4

Phase 1 Exam — Data Analysis 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 — Data Analysis Basics
Phase 2

Intermediate

1

Statistics for Data Analysis

1–2 Weeks
2

Data Cleaning & Preparation

1–2 Weeks
3

Power BI

2–3 Weeks
4

Phase 2 Exam — Statistics, Cleaning & Power BI

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 — Statistics for Data Analysis
Phase 3

Advanced

1

Python for Data Analysis

2–3 Weeks
2

Exploratory Data Analysis

1–2 Weeks
3

Data Visualization & Storytelling

1 Week
4

Real-World Data Analysis Projects

2–4 Weeks
6

Phase 3 Exam — Analysis in Practice

90 min
5

Portfolio & Career Preparation

1–2 Weeks

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 — Python for Data Analysis

You're ready

You finished Data Analysis

That's the full path — 14 sequenced lessons covering every phase. Your next move is the next linked path, which builds directly on what you just learned.

Browse all learning paths →
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