DSA & Interview Prep
Data structures, algorithms and the patterns that crack coding interviews — explained with real-life stories.
🎓Mediumlevel
📚11phases
✏️35lessons
⏱️~23 hours30–60 min a day
About this course
The course that turns “I can code” into “I can solve anything they ask me”. Every structure and algorithm starts with a real-life story, then a picture, then pseudocode you can watch step by step, then JavaScript and Python you can run. You learn Big O, arrays, strings, hashing, two pointers, sliding window, stacks, queues, linked lists, recursion, sorting, binary search, trees, heaps, graphs, greedy, backtracking and dynamic programming — then practise the 14 patterns behind most interview questions, with timed mock interviews.
Before you start
- Any one language: JavaScript or Python (Phases 1–5)
- Or Pseudocode Phases 00–07
🏆 By the end you can…
- Explain and choose the right data structure
- Analyse time and space with Big O
- Recognise the 14 core interview patterns
- Solve easy and medium interview problems in JavaScript or Python
- Communicate your approach like a strong candidate
🗺️ Curriculum
Every phase, lesson by lesson
PHASE 01
Big O & Problem Solving
Why DSA matters, Big O made intuitive, space complexity, and a step-by-step method for any problem.
Easy
0%
PHASE 02
Arrays & Strings
The most common interview topic: array tricks, string processing, prefix sums and grids.
Easy
0%
PHASE 03
Hash Maps & Sets
The O(1) lookup superpower that turns slow nested loops into fast single passes.
Easy
0%
PHASE 04
Two Pointers & Sliding Window
Two patterns that turn O(n²) into O(n) on arrays and strings.
Medium
0%
PHASE 05
Stacks & Queues
Last-in-first-out and first-in-first-out — plus the monotonic stack trick.
Medium
0%
PHASE 06
Linked Lists
Nodes and pointers: build, traverse, reverse and detect cycles with fast and slow pointers.
Medium
0%
PHASE 07
Recursion, Sorting & Searching
Recursion and backtracking, merge sort and quick sort, and binary search on anything sorted.
Medium
0%
PHASE 08
Trees & Heaps
Binary trees, traversals, binary search trees and priority queues.
Medium
0%
PHASE 09
Graphs
Networks of things: BFS, DFS, islands, shortest paths and topological order.
Hard
0%
PHASE 10
Greedy & Dynamic Programming
Make the best local choice, or remember answers to sub-problems — the two big optimisation ideas.
Hard
0%
PHASE 11
The Interview Playbook
The 14 patterns, how to talk through a solution, mock interviews and the behavioural round.
Medium
0%
