Data Structures & Algorithms

Learn Data Structures & Algorithms in a practical order—from the fundamentals to work you can confidently share.

In short— Hakuna kurukaruka tutorials. Follow the route, practice each stage, then ship kitu real.

Free roadmap

What you'll learn

Click any stage kufungua full details.

01Stage 01Build the mental modelProgramming Fundamentals • Basic Data Structures • Oop Basics

Learn the principles that help you make stronger technical decisions.

Focus on

  • Programming Fundamentals
  • Basic Data Structures
  • Oop Basics
Build check: Write a one-page Data Structures & Algorithms glossary in your own words.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

02Stage 02Core building blocksLanguage Syntax • Functions • Advanced Data Structures

Connect the important concepts so you can explain what the tools are doing—not just copy commands.

Focus on

  • Language Syntax
  • Functions
  • Advanced Data Structures
Build check: Complete three focused Data Structures & Algorithms exercises without following a full tutorial.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

03Stage 03Everyday workflowComplex Data Structures • Graph Data Structures • Tree Data Structures

Practice the techniques you will use repeatedly in real projects and team environments.

Focus on

  • Complex Data Structures
  • Graph Data Structures
  • Tree Data Structures
Build check: Recreate a small Data Structures & Algorithms example, then change one major requirement.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

04Stage 04Build something usefulWhat Are Data Structures • Why Are Data Structures Important • Shortest Path Algorithms

Turn the knowledge into a small project with a clear user, purpose and finish line.

Focus on

  • What Are Data Structures
  • Why Are Data Structures Important
  • Shortest Path Algorithms
Build check: Build a useful mini-project with Data Structures & Algorithms.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

05Stage 05Quality and production2 3 Trees • A Algorithm • Algorithmic Complexity

Add testing, security, performance and maintainability before calling the work complete.

Focus on

  • 2 3 Trees
  • A Algorithm
  • Algorithmic Complexity
Build check: Review, test and improve the project like it is going to real users.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

06Stage 06Ship proofArray • Asymptotic Notation • Avl Trees

Publish a polished project, document your decisions and make the learning visible.

Focus on

  • Array
  • Asymptotic Notation
  • Avl Trees
Build check: Publish the project with a clear README and a short build story.

Usibinge theory pekee—test hii stage kwa project ndio ishike.

Now build kitu real.

Pick a project that solves an actual problem, ship it, then explain your choices. Hapo ndio skill inakuwa proof.

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