Data Structures & Algorithms ka complete, interview-focused masterclass — JavaScript mein. Basics se lekar Google/FAANG-level advanced topics (Graphs, DP, Backtracking, Bit Manipulation) tak, saath mein 150+ practice problems, pattern recognition system, aur full mock interview simulations.
- Simple Hinglish explanations
- Pattern-recognition focused (sirf solutions nahi, "ye pattern kab use karna hai" bhi)
- Real interview-caliber problems (LeetCode references included)
- Dry-run walkthroughs har algorithm ke liye
- Common mistakes & SDE traps
Chapter 1 — DSA Basics
Data structures & algorithms ka intro, roadmap overview, static vs dynamic structures
Chapter 2 — Complexity Analysis
Big-O notation, Time & Space complexity, Best/Worst/Average case, amortized analysis
Chapter 3 — Array Basics
Array fundamentals, memory model, core operations & their complexities
Chapter 4 — Basic Array Problems
Sliding Window, Two Pointers, Kadane's Algorithm, Prefix Sum patterns
Chapter 5 — Matrix & 2D Arrays
2D array traversal, matrix rotation, spiral traversal, search patterns
Chapter 6 — Strings & String Patterns
String manipulation, pattern matching, common string interview problems
Chapter 7 — Hashing Basics
Hash maps/sets, collision handling, hashing-based problem patterns
Chapter 8 — Recursion
Call stack mechanics, base/recursive case, recursion vs iteration, head vs tail recursion, recursive mindset
Chapter 9 — Backtracking
Choice-State-Decision tree model, pruning, Subsets vs Permutations vs Combinations
Chapter 10 — Searching
Linear & Binary Search, first/last occurrence, rotated sorted array search, peak element/mountain array
Chapter 11 — Sorting
Sorting algorithms, merge intervals, interval-based problems
Chapter 12 — Linked List
Node anatomy, singly/doubly/circular linked lists, manual implementation, interview patterns
Chapter 13 — Stack & Queues
LIFO/FIFO mechanics, Valid Parentheses, Monotonic Stack (SDE goldmine pattern)
Chapter 14 — Binary Tree
Tree traversals, LCA, Diameter, Max Path Sum
Chapter 15 — Binary Search Tree & Advanced Tree Patterns
BST invariant, inorder property, custom BST implementation, node deletion, self-balancing trees overview
Chapter 16 — Heap & Priority Queue
Complete Binary Tree connection, Min/Max Heap, heap operations, SDE code blueprints
Chapter 17 — Greedy Algorithm
Greedy choice property, interval scheduling, meeting rooms, activity selection
Chapter 18 — Graph Fundamentals & Representation
Adjacency list/matrix, graph types, representation trade-offs
Chapter 19 — BFS, DFS & Graph Traversal
Breadth/Depth-First Search, traversal-based problems
Chapter 20 — Advanced Graph Algorithms
Topological Sort (Kahn's + DFS), Dijkstra's, Bellman-Ford, Floyd-Warshall, MST/Prim's, Kruskal's & Union-Find (DSU)
Chapter 21 — Dynamic Programming Foundations
Memoization, tabulation, optimal substructure & overlapping subproblems
Chapter 22 — Core DP Patterns
0/1 Knapsack, Unbounded Knapsack, LCS, Edit Distance, Word Break
Chapter 23 — Advanced DP Patterns
Interval DP, Matrix Chain Multiplication, Bitmask DP
Chapter 24 — Bit Manipulation
Binary representation, 32-bit signed trap in JS, bitwise operators, XOR tricks, core interview problems
Chapter 25 — DSA Pattern Recognition
The 19 ultimate DSA patterns, comparative paradigm battles, pattern cheat sheet map
Chapter 26 — Interview Problem Solving
14-step SDE interview framework, what to do when stuck, live whiteboard simulation, progressive practice suite
Chapter 27 — Mixed Interview Problems
Cross-topic paradigm comparisons, unseen problem simulation round, weak-area detector checklist
Chapter 28 — Mock Interview
6 full mock interview rounds — Fundamentals, Data Structures, Algorithms, DP & Advanced, Mixed SDE, High-Level System topics
Chapter 29 — Frequently Asked Problems
150+ curated interview problems with LeetCode references — Arrays through Segment Trees & Tries
Chapter 30 — Advanced Thinking
Advanced problem-solving strategies & thinking frameworks
You will be able to:
- Confidently solve Easy-to-Hard level DSA problems in JavaScript
- Recognize which pattern (Sliding Window, DP, Backtracking, etc.) fits a given problem
- Handle graph and tree problems at a production-interview level
- Walk through a full SDE mock interview end-to-end
- Approach FAANG/Google-caliber interviews with a structured toolkit
Every topic includes:
- What it is & why it exists
- Real-life analogy
- Step-by-step dry runs
- Complete code implementation
- Common mistakes & SDE traps
- Practice problems with LeetCode references
Goal:
"Think in patterns, not just memorize solutions."