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Data Structures and Algorithms | C

Course Reviews

Track :

Programming

Lessons no : 58

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What will you learn in this course?
  • Implement efficient data structures like arrays, linked lists, stacks, queues, trees, and graphs in C programming
  • Analyze and optimize algorithms for sorting, searching, and recursion to improve program performance
  • Apply algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms in real-world problems
  • Write C code to implement common data structures and algorithms with correct syntax and logic
  • Evaluate time and space complexity of algorithms to select the most efficient solution for specific problems
  • Solve complex problems using advanced data structures like heaps, hash tables, and balanced trees in C
  • Develop skills to troubleshoot and debug data structure and algorithm implementations effectively
  • Utilize C programming to develop scalable, high-performance applications with optimized data handling
  • Compare different algorithms and data structures to determine the best approach for specific computational tasks
  • Create efficient algorithms for data manipulation, sorting, and searching in large datasets
  • Design and implement custom data structures tailored to specific application needs in C
  • Enhance problem-solving skills by applying data structures and algorithms to real-world programming challenges

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  • The Certificate is free !
Lessons | 58
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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SETLEM VENKATA JAYA SURYA 

Good
2025-12-05

TIPIREDDY MANOGNYA 

good
2025-11-25

S.Mahathi 

Good
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Zaahid Shaik 

good
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Deepika.K 

good
2025-11-21

Jan swathi 

good
2025-11-21

PRATTIPATI OMKAR SAMBASIVUDU 

good
2025-11-20

TAMMI SRINIDHI 

The Mind Luster Data Structures Certificate course offered a well-structured and comprehensive introduction to fundamental and advanced data structures. The content was clearly explained, with a logical progression from arrays and linked lists to trees, graphs, and hash tables. I found the visual demonstrations and real-world examples particularly helpful in solidifying my understanding of complex topics. The quizzes and assessments were thoughtfully designed to reinforce learning and test pract
2025-11-20

BHANOORI ASHWITHA 

very nice
2025-11-20

Lingareddy Himasutha 

good
2025-11-19

G Vismaya Reddy 

It was helpful
2025-11-19

Yashwanth Buddanagouda 

good
2025-11-19

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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 .