Data Structures & Algorithms (DSA) Mastery
Master core data structures and algorithms for technical interviews and real-world problem solving.
Modules
- Time and Space Complexity
- Arrays and Memory Layout
- Sliding Window Technique
- Two Pointer Technique
- String Manipulation
- Pattern Searching
- Recursion Basics
- Backtracking Problems
- Singly and Doubly Linked Lists
- Stack and Its Applications
- Queue and Circular Queue
- Dequeue & Problems
- Binary Tree and Binary Search Tree (BST)
- Tree Traversals: Inorder, Preorder, Postorder
- Graphs: BFS, DFS
- Graph Representations
- Merge Sort and Quick Sort
- Binary Search Applications
- Heap Sort
- Sorting Problems
- Hash Tables and Hash Sets
- Frequency Maps
- Greedy Algorithms
- Greedy Case Studies
- Introduction to DP
- Memoization vs Tabulation
- Fibonacci, Knapsack, LIS
- 2D DP Patterns
- Top 50 Coding Interview Problems
- Mock Tests and Solutions
- Resume & Portfolio Guidance
- DSA in System Design (Intro)
Industry Insights
90%
Industry Relevance
High
Market Demand
10 LPA+
Avg. Salary
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Your Learning Roadmap
Follow this path to mastery. Our AI guide leads the way.
Foundations & Complexity
10 hrsBig-O, arrays, pointers, memory model
Recursion & Strings
12 hrsPattern searching, backtracking, problems
Linked Lists / Stacks / Queues
14 hrsImplementation & key interview Qs
Trees & Graphs
16 hrsTraversals, BFS/DFS, shortest paths
Sorting, Searching, Hashing
14 hrsBinary search, heaps, hash maps
Greedy & Dynamic Programming
16 hrsKnapsack, LIS, tabulation vs memo
Mock Interviews + Top 50 Problems
8 hrsTimed tests + editorials
Why learn Data Structures & Algorithms (DSA)?
- DSA is the foundation for cracking top tech interviews (FAANG, startups, etc.).
- Strengthens your problem-solving and critical thinking abilities.
- Helps you write optimized, scalable, and efficient code.
- Essential for competitive programming and coding contests.
- Boosts your confidence in tackling real-world technical challenges.