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Data Structures Interview Mastery

Master every data structure for coding interviews. Build hash maps, heaps, tries from scratch. Learn when to use which structure.

8 modules 48 lessons ~12h AI voice coach
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Course Outline

1

Arrays & Strings

6 lessons

Master fundamental array and string techniques that form the backbone of most coding interviews.

Intro to Arrays & Strings
In-Place Array Manipulation
String Pattern Matching (KMP)
Matrix Traversal
Prefix Sum & Difference Arrays
2D Array Techniques
2

Hash Tables

6 lessons

Understand hash tables inside and out — from building one from scratch to solving classic interview patterns.

Intro to Hash Tables
Implementing HashMap from Scratch
Collision Resolution
Frequency Counting Patterns
Group Anagrams
LRU Cache Implementation
3

Linked Lists

6 lessons

Master linked list manipulation — from basic operations to advanced techniques like fast/slow pointers and in-place reversal.

Intro to Linked Lists
Singly vs Doubly Linked Lists
Fast & Slow Pointers
Reversing (Iterative & Recursive)
Merge & Sort Linked Lists
Cycle Detection & Removal
4

Stacks & Queues

6 lessons

Master stack and queue patterns including monotonic stacks, deques, and expression evaluation.

Intro to Stacks & Queues
Monotonic Stack
Next Greater Element
Queue with Stacks
Sliding Window Maximum (Deque)
Evaluate Expressions
5

Trees

6 lessons

Master binary trees, BSTs, traversals, and classic tree interview problems from LCA to serialization.

Intro to Trees
Binary Tree Traversals
BST Operations & Validation
Lowest Common Ancestor
Serialize & Deserialize
Balanced BST Problems
6

Heaps

6 lessons

Build heaps from scratch, then solve Top K, Merge K, Median Stream, and Task Scheduler problems.

Intro to Heaps
Implementing Min/Max Heap
Top K Elements
Merge K Sorted Lists
Median of Data Stream
Task Scheduler
7

Graphs

6 lessons

Master graph representations, traversals, cycle detection, shortest paths, and union-find for interview success.

Intro to Graphs
Graph Representations
BFS & DFS Patterns
Detecting Cycles
Dijkstra's Algorithm
Union-Find (Disjoint Set)
8

Tries & Advanced Structures

6 lessons

Build tries from scratch, solve word search and autocomplete, then master segment trees, Fenwick trees, and DS selection strategy.

Intro to Tries
Implementing a Trie
Word Search & Autocomplete
Segment Trees
Fenwick Trees (Binary Indexed Trees)
When to Use Which Data Structure