Free course · 4 guides · Python, Java & C++
DSA for beginners, finally made easy.
Learn data structures and algorithms step by step. Watch every algorithm move, code it in Python, Java or C++, and remember it for exams and interviews with the PATH memory method.
- Animated visualizers for every algorithm
- Code in Python, Java & C++
- Memory cards with spaced repetition
- Time complexity explained simply
- Quizzes and interview tips
- Free, no sign-up needed
DSA for Beginners
Free- Part 1Big O Notation Explained Simply
- Part 2Stack vs Queue
- Part 3Binary Search Algorithm Explained
- Part 4Sorting Algorithms Explained
Why it works
Built so it actually sticks
See it move
Step through sorting, searching, stacks and queues one move at a time instead of staring at static diagrams.
Remember it
Every guide ends with a PATH memory card: a picture, a catchy anchor, a hand trace and flashcards that come back when you're about to forget.
Code it
Clean, copy-ready code in Python, Java and C++ for every concept, with the classic bugs pointed out.
Crack the exam
Complexity tables, common mistakes and quick quizzes aimed at semester exams, placements and coding interviews.
The secret weapon
The PATH memory method: understand it once, remember it in the exam
Most students forget DSA days after reading it. Every guide ends with a PATH memory card built on proven study techniques: vivid imagery, mnemonics, worked examples and spaced repetition.
Picture it
Every concept becomes an everyday scene you can see.
e.g. A stack is a pile of buffet plates
Anchor it
A silly sentence where every word maps to the idea.
e.g. “Plates PILE, People FILE”
Trace it
Run it by hand on a tiny example once.
e.g. Push 1, 2, 3 → pop gives 3
Hit-recall it
Flashcards that come back on the day you're about to forget.
e.g. Review tomorrow, then in 3, 7 and 14 days
The roadmap
Follow the trail, one part at a time
Each part builds on the one before. Your progress is saved in this browser, so you can pick up where you left off.
0 of 4 parts completed
Start the course- 1Part 1·10 minStart here
Big O Notation Explained Simply
Big O notation explained for beginners: what O(1), O(log n), O(n) and O(n²) mean, a growth graph, code examples, and a memory trick so you never forget the order.
- 2Part 2·9 min
Stack vs Queue
Stack vs queue in data structures, explained simply: LIFO vs FIFO, push, pop, enqueue and dequeue, a difference table, code in Python, Java and C++, and a memory trick.
- 3Part 3·9 min
Binary Search Algorithm Explained
Binary search explained for beginners: how it works step by step, why its time complexity is O(log n), code in Python, Java and C++, a visual demo and a memory trick.
- 4Part 4·11 min
Sorting Algorithms Explained
Sorting algorithms explained with a live visualizer: bubble, selection, insertion, merge and quick sort, a time complexity table, merge sort code and a memory trick.
- 5Linked listsComing soon
- 6RecursionComing soon
- 7Hashing & hash mapsComing soon
- 8Trees & binary search treesComing soon
- 9Graphs: BFS & DFSComing soon
- 10Dynamic programmingComing soon
Who it's for
Made for you if…
You're a college student
Your DSA class moves fast and the textbook is dry. Use this alongside your syllabus to actually understand each topic before the exam.
You're preparing for placements
Build rock-solid fundamentals (Big O, stacks, queues, searching, sorting) before jumping into hundreds of practice problems.
You're teaching yourself to code
No CS degree needed. Plain English, visual demos and a clear order to follow, one part at a time.
FAQ
Questions students ask
What is DSA?
DSA stands for Data Structures and Algorithms. Data structures are ways to organise data (like arrays, stacks, queues and trees), and algorithms are step-by-step methods to solve problems with that data (like searching and sorting). Together they're the foundation of efficient programming.
Which programming language is best for learning DSA?
The concepts are the same in every language, so use the one you're most comfortable with. Python is the easiest to read, Java is common in university courses, and C++ is popular for competitive programming. Every guide here shows code in all three.
How long does it take to learn DSA basics?
This course's core guides take a few hours to read and try. Mastering DSA takes longer, usually a few months of regular practice solving problems. The key is consistency: one concept at a time, revised with spaced repetition.
Is DSA important for placements and coding interviews?
Yes. Most technical interviews and many placement tests include DSA questions, because they show how you think about efficiency and problem solving. Strong fundamentals make practice problems much easier.
Is this DSA course free?
Yes, completely free with no sign-up. Your progress is saved in your browser. You can optionally join the newsletter to hear when new parts like linked lists and trees are published.
Start with Part 1: Big O notation
It's the language of every other DSA topic, and it takes about 10 minutes. Your progress is saved automatically.