Complete Preparation

Data Structures & Algorithms

Master the essential algorithms and data structures for technical interviews. Comprehensive guide with 21 chapters covering everything from Big O to advanced problem-solving patterns, prefix sums, string algorithms, and more.

21
Chapters
200+
Problems
C#
Code Examples
✓
Interview Ready
01

Recommended Study Path

Follow this structured approach to build a solid foundation and master advanced techniques progressively.

Phase 1: Foundations
Ch 1: Big O Ch 2: Arrays/Strings Ch 3: Linked Lists Ch 4: Stacks/Queues Ch 5: Hash Tables
Phase 2: Core Structures
Ch 6: Trees & BST Ch 7: Heaps & Priority Queues Ch 8: Graphs
Phase 3: Algorithm Paradigms
Ch 9: Sorting Ch 10: Searching Ch 11: Recursion & Backtracking Ch 12: Dynamic Programming Ch 13: Greedy Ch 14: Divide & Conquer
Phase 4: Advanced Techniques
Ch 15: Two Pointers & Sliding Window Ch 16: Trie & Advanced DS Ch 17: Bit Manipulation Ch 19: Prefix Sums & Common Techniques Ch 20: String Algorithms Ch 21: Math & Number Theory
Phase 5: Strategy
Ch 18: Patterns & Problem Solving
02

All 21 Chapters

Click any chapter card to dive into comprehensive lessons, problems, and C# code examples.

Chapter 01
Big O Complexity
Time and space complexity analysis, growth rates, and asymptotic notation.
12 topics
Chapter 02
Arrays & Strings
Fundamental data structures and manipulation techniques with many interview problems.
18 problems
Chapter 03
Linked Lists
Singly and doubly linked lists, common operations, and classic interview problems.
15 problems
Chapter 04
Stacks & Queues
LIFO and FIFO data structures, deques, and priority queue foundations.
14 problems
Chapter 05
Hash Tables
Hash functions, collision handling, and efficient lookup strategies.
16 problems
Chapter 06
Trees & BST
Binary search trees, traversals, balancing, and tree problems.
19 problems
Chapter 07
Heaps & Priority Queues
Min/max heaps, heap operations, and heap-based algorithms.
12 problems
Chapter 08
Graphs
Graph representations, DFS, BFS, shortest paths, and topological sorting.
17 problems
Chapter 09
Sorting
Quicksort, mergesort, heapsort, and stable sorting algorithms.
10 problems
Chapter 10
Searching
Binary search, variants, and search optimization techniques.
13 problems
Chapter 11
Recursion & Backtracking
Recursive patterns, base cases, and systematic backtracking approaches.
16 problems
Chapter 12
Dynamic Programming
Memoization, tabulation, classic DP patterns, and optimization.
20 problems
Chapter 13
Greedy Algorithms
Greedy approach, activity selection, huffman coding, and applications.
11 problems
Chapter 14
Divide & Conquer
Divide and conquer paradigm, recurrence relations, and applications.
12 problems
Chapter 15
Two Pointers & Sliding Window
Two pointer technique, sliding window optimization, and variants.
15 problems
Chapter 16
Trie & Advanced DS
Trie structures, suffix trees, segment trees, and advanced data structures.
13 problems
Chapter 17
Bit Manipulation
Bitwise operations, masks, and bit manipulation tricks.
11 problems
Chapter 18
Patterns & Problem Solving
Meta-patterns for interview problems, approach strategies, and solutions.
75+ problems list
Chapter 19
Prefix Sums & Common Techniques
Prefix sums, difference arrays, Kadane's, monotonic stack/queue, sweep line, and matrix tricks.
25+ problems
Chapter 20
String Algorithms
KMP, Rabin-Karp, Z-Algorithm, Manacher's, string hashing, and pattern matching.
15+ problems
Chapter 21
Math & Number Theory
GCD/LCM, primes, modular arithmetic, combinatorics, and math-based interview problems.
15+ problems
03

Quick Start

Choose your starting point based on your current level.

New to DSA?
Start from the beginning and build your foundation methodically through all concepts.
Begin with Ch 1 →
Know the Basics?
Jump straight to problem-solving patterns and advanced techniques for interview prep.
Go to Ch 18 →