W1

Arrays & Strings

Master fundamental array manipulations and string processing techniques to solve complex data manipulation problems.

5 videos•117m

2 readings

5 topics

1 homework

Learn

Topics

1.1

Two Pointer Technique

LeetCode 26 | Two Pointer Technique | O(n) Solution

9 minutes

1.2

Sliding Window Maximum

DSA PATTERNS Episode 15 | Sliding Window Pattern Revision (Part 2)

24 minutes

1.3

String Anagram Detection

Group Anagrams - Efficient String Clustering Algorithm | LeetCode 49

5 minutes

1.4

Prefix Sum Array

Radix sort (using counting sort & prefix sum) in TurboBASIC XL for the Atari 8-bit microcomputer

5 minutes

1.5

Substring Search Algorithms

Lecture 6: Bisection Search

74 minutes

Required Reading & References

W2

Linked Lists & Hash Maps

Implement linear data structures and optimize lookups using hashing to achieve constant-time data retrieval.

5 videos•121m

2 readings

5 topics

1 homework

Learn

W3

Stacks, Queues & Recursion

Apply stack and queue paradigms alongside recursive backtracking to solve complex parsing and traversal problems.

5 videos•97m

2 readings

5 topics

1 homework

Learn

W4

Trees & Binary Search Trees

Navigate hierarchical data structures and balance search trees efficiently to optimize search and insertion times.

5 videos•81m

2 readings

5 topics

1 homework

Learn

W5

Heaps & Priority Queues

Utilize heap structures to solve optimization and scheduling problems with efficient minimum and maximum retrieval.

5 videos•98m

2 readings

5 topics

1 homework

Learn

W6

Graphs & BFS/DFS

Traverse and analyze network structures using graph algorithms to find paths, cycles, and connectivity.

5 videos•106m

2 readings

5 topics

1 homework

Learn

W7

Dynamic Programming

Decompose overlapping subproblems to build optimal dynamic programming solutions for complex optimization tasks.

5 videos•120m

2 readings

5 topics

1 homework

Learn

W8

Greedy Algorithms & Advanced Coding

Apply greedy strategies and advanced coding patterns for system-level optimization and algorithmic problem solving.

3 videos•102m

2 readings

3 topics

1 homework

Learn

DSA and coding

Arrays & Strings

Arrays & Strings

Topics

Required Reading & References

Linked Lists & Hash Maps

Linked Lists & Hash Maps

Stacks, Queues & Recursion

Stacks, Queues & Recursion

Trees & Binary Search Trees

Trees & Binary Search Trees

Heaps & Priority Queues

Heaps & Priority Queues

Graphs & BFS/DFS

Graphs & BFS/DFS

Dynamic Programming

Dynamic Programming

Greedy Algorithms & Advanced Coding

Greedy Algorithms & Advanced Coding

References

Week 1: Arrays & Strings

Mastering Data Structures & Algorithms

LeetCode Array & String Problems

Week 2: Linked Lists & Hash Maps

Data Structures: Linked Lists and Hash Maps

Hash Map Deep Dive

Week 3: Stacks, Queues & Recursion

Stacks and Queues in Python

Recursion and Backtracking Guide

Week 4: Trees & Binary Search Trees

Tree Data Structures Explained

Binary Search Tree Problems

Week 5: Heaps & Priority Queues

Heaps and Priority Queues Guide

Heap Data Structure Visualizations

Week 6: Graphs & BFS/DFS

Graph Algorithms Explained

BFS and DFS Problem Sets

Week 7: Dynamic Programming

Dynamic Programming Masterclass

DP Patterns and Templates

Week 8: Greedy Algorithms & Advanced Coding

Greedy Algorithms Guide

Advanced Coding Patterns

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