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Lessons List | 58 Lesson
Linked List Introduction
00:05:56

Linked List Introduction
Linked List Insertion at beginning of List
00:09:59

Linked List Insertion at beginning of List
Linked List Print Elements of List C
00:06:13

Linked List Print Elements of List C
Linked List Insertion at End
00:13:34

Linked List Insertion at End
Linked List Insertion at k th position C
00:19:56

Linked List Insertion at k th position C
Reverse Linked List Iteratively
00:13:51

Reverse Linked List Iteratively
Reverse Linked List Recursively
00:16:30

Reverse Linked List Recursively
Detect Loop in Linked List | Linked List Cycle | Floyd s algorithm | C
00:23:22

Detect Loop in Linked List | Linked List Cycle | Floyd s algorithm | C
Find Length of Loop in Linked List | C
00:08:36

Find Length of Loop in Linked List | C
Find the middle of Linked List | C
00:07:13

Find the middle of Linked List | C
Find k th node from end in Linked List | C
00:10:18

Find k th node from end in Linked List | C
Find beginning of cycle in Linked List | Floyd s algorithm
00:17:22

Find beginning of cycle in Linked List | Floyd s algorithm
Why Floyd s Cycle Detection Algorithm Works | Cycle detection in Linked List
00:13:21

Why Floyd s Cycle Detection Algorithm Works | Cycle detection in Linked List
Remove Loop from Linked List | Floyd s Algorithm
00:10:11

Remove Loop from Linked List | Floyd s Algorithm
Check if Linked List is Palindrome | Programming Interview
00:12:55

Check if Linked List is Palindrome | Programming Interview
Swap nodes in Linked List without Copy | Programming Interview | C
00:20:05

Swap nodes in Linked List without Copy | Programming Interview | C
Dynamic Programming Introduction | Data Structures and Algorithms | Programming Interview
00:14:59

Dynamic Programming Introduction | Data Structures and Algorithms | Programming Interview
Dynamic Programming | Tabulation vs Memoization
00:20:36

Dynamic Programming | Tabulation vs Memoization
Dynamic Programming | Fibonacci Numbers
00:16:20

Dynamic Programming | Fibonacci Numbers
Dynamic Programming | Longest Common Subsequence LCS | Part 1
00:23:20

Dynamic Programming | Longest Common Subsequence LCS | Part 1
Dynamic Programming | Longest Common Subsequence LCS | Part 2 | C code
00:10:07

Dynamic Programming | Longest Common Subsequence LCS | Part 2 | C code
Dynamic Programming | Print Longest Common Subsequence LCS
00:12:20

Dynamic Programming | Print Longest Common Subsequence LCS
UGLY Numbers Dynamic Programming | LeetCode 264 | Ugly Number ii
00:22:55

UGLY Numbers Dynamic Programming | LeetCode 264 | Ugly Number ii
Dynamic Programming | Number of ways to Score R runs in B balls
00:18:06

Dynamic Programming | Number of ways to Score R runs in B balls
Egg Dropping Puzzle | Dynamic Programming | Part 1
00:21:41

Egg Dropping Puzzle | Dynamic Programming | Part 1
Egg Dropping Puzzle C Code | Dynamic Programming | Part 2
00:12:03

Egg Dropping Puzzle C Code | Dynamic Programming | Part 2
ROD Cutting Problem | Dynamic Programming
00:20:01

ROD Cutting Problem | Dynamic Programming
Coin Change | Dynamic Programming | Programming Interview
00:20:16

Coin Change | Dynamic Programming | Programming Interview
Google Coding Interview Question and Answer 1 Zero Sum Triplets
00:21:11

Google Coding Interview Question and Answer 1 Zero Sum Triplets
Google Coding Interview Question and Answer 2 Subarray with given Sum
00:13:18

Google Coding Interview Question and Answer 2 Subarray with given Sum
Google Coding Interview Question and Answer 3 Flood fill Algorithm | Paint
00:13:47

Google Coding Interview Question and Answer 3 Flood fill Algorithm | Paint
Longest Increasing Subsequence Dynamic Programming
00:17:18

Longest Increasing Subsequence Dynamic Programming
0 1 Knapsack Problem Dynamic Programming
00:18:07

0 1 Knapsack Problem Dynamic Programming
Introduction to Doubly Linked List | Data structures and Algorithms
00:11:22

Introduction to Doubly Linked List | Data structures and Algorithms
Data Structures and Algorithms | Programming Interviews
01:27:25

Data Structures and Algorithms | Programming Interviews
Rabin Karp String Matching Algorithm
00:24:40

Rabin Karp String Matching Algorithm
What are Data Structures and Algorithms
00:08:22

What are Data Structures and Algorithms
Analysis of Algorithms | Running Time Analysis
00:13:47

Analysis of Algorithms | Running Time Analysis
Asymptotic Analysis of Algorithms | Members Only
00:09:13

Asymptotic Analysis of Algorithms | Members Only
Big O Notation | Asymptotic Analysis
00:11:49

Big O Notation | Asymptotic Analysis
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Vv Good Course 2025-05-01

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its a good course for learning 2025-04-17

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its good 2025-04-13

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VV GOOD COURSE 2025-04-07

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It was actually a great opportunity learning this course it enlightened me on solving problems 2025-03-15

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it was not bad 2025-03-15

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this is very helpful 2024-10-26

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Good 2024-05-31

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nice 2024-05-24

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Very Helpful. 2024-03-30

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nice one 2024-02-18

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Course Description

A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a particular problem. Learning data structures and algorithms allow us to write efficient and optimized computer programs .
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