Data Structures & Algorithms

The single most important subject in computer science. Arrays to graphs, Big-O to DP — the foundation of every technical interview and every serious system.

intermediate~60 hours24 topics~43h of lessonsRoadmap Level 2

Choosing the right structure and algorithm is the difference between a program that works and one that works at scale.

RECOMMENDED BEFORE THIS
○ Programming with C○ Python Programming

These are suggested first. You can still open any topic — this only helps you pick an order.

Prerequisites:Programming with CPython Programming
Learning Path
07 stages
24 topics · 7 stages0/24 completed
01

Fundamentals

Start from zero. Build the vocabulary.

What is a Data Structure?~30 minbeginnerBig-O Notation~60 minbeginnerTime and Space Complexity~45 minbeginner
02

Core Concepts

The ideas you cannot skip.

Arrays~60 minbeginnerLinked Lists~75 minbeginnerStacks and Queues~60 minbeginnerHash Tables~75 minbeginnerTrees and Binary Trees~90 minintermediateRecursion~75 minintermediate
03

Intermediate

Connect ideas and go deeper.

Binary Search Trees~75 minintermediateHeaps and Priority Queues~60 minintermediateSorting Algorithms~120 minintermediateBinary Search~60 minintermediate
04

Advanced

Beyond the basics.

Graphs and Graph Traversal~120 minadvancedShortest Paths: Dijkstra and BFS~90 minadvancedDynamic Programming~120 minadvancedBacktracking~90 minadvanced
05

Practice

Solve problems until it sticks.

Practice Set: Arrays & Strings~150 minintermediatePractice Set: Linked Lists & Trees~150 minintermediatePractice Set: DP & Graphs~180 minadvanced
06

Projects

Apply everything in real work.

Project: Pathfinding Visualizer~360 minadvancedProject: Autocomplete Engine~240 minintermediate
07

Interview Prep

Convert knowledge into offers.

Interview Problem-Solving Framework~90 minadvancedHigh-Frequency Problem Patterns~120 minadvanced