Data Structures and Algorithms | C Course

58 Lessons
456 Students
Certificate of completion

Track:

Programming

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 .

To Register in Course you have to watch at least 30 Second of any lesson

What You'll Learn

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

Course Content

58 Lessons • 14 h 21 m total

Linked List Introduction

5:56

Linked List Insertion at beginning of List

9:59

Linked List Print Elements of List C

6:13

Linked List Insertion at End

13:34

Linked List Insertion at k th position C

19:56

Reverse Linked List Iteratively

13:51

Reverse Linked List Recursively

16:30

Detect Loop in Linked List | Linked List Cycle | Floyd s algorithm | C

23:22

Find Length of Loop in Linked List | C

8:36

Find the middle of Linked List | C

7:13

Find k th node from end in Linked List | C

10:18

Find beginning of cycle in Linked List | Floyd s algorithm

17:22

Why Floyd s Cycle Detection Algorithm Works | Cycle detection in Linked List

13:21

Remove Loop from Linked List | Floyd s Algorithm

10:11

Check if Linked List is Palindrome | Programming Interview

12:55

Swap nodes in Linked List without Copy | Programming Interview | C

20:05

Dynamic Programming Introduction | Data Structures and Algorithms | Programming Interview

14:59

Dynamic Programming | Tabulation vs Memoization

20:36

Dynamic Programming | Fibonacci Numbers

16:20

Dynamic Programming | Longest Common Subsequence LCS | Part 1

23:20

Dynamic Programming | Longest Common Subsequence LCS | Part 2 | C code

10:07

Dynamic Programming | Print Longest Common Subsequence LCS

12:20

UGLY Numbers Dynamic Programming | LeetCode 264 | Ugly Number ii

22:55

Dynamic Programming | Number of ways to Score R runs in B balls

18:06

Egg Dropping Puzzle | Dynamic Programming | Part 1

21:41

Egg Dropping Puzzle C Code | Dynamic Programming | Part 2

12:03

ROD Cutting Problem | Dynamic Programming

20:01

Coin Change | Dynamic Programming | Programming Interview

20:16

Google Coding Interview Question and Answer 1 Zero Sum Triplets

21:11

Google Coding Interview Question and Answer 2 Subarray with given Sum

13:18

Google Coding Interview Question and Answer 3 Flood fill Algorithm | Paint

13:47

Longest Increasing Subsequence Dynamic Programming

17:18

0 1 Knapsack Problem Dynamic Programming

18:07

Introduction to Doubly Linked List | Data structures and Algorithms

11:22

Data Structures and Algorithms | Programming Interviews

1:27:25

Rabin Karp String Matching Algorithm

24:40

What are Data Structures and Algorithms

8:22

Analysis of Algorithms | Running Time Analysis

13:47

Asymptotic Analysis of Algorithms | Members Only

9:13

Big O Notation | Asymptotic Analysis

11:49

How to Get The Certificate

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Complete all lessons.
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4.4 (49 reviews)

Overall rating

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4.0 53%
3.0 2%
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Reviews

Charitha Sri S

· 5mos ago

nice

Tejaswini Mappeti

· 8mos ago

Thank you

SETLEM VENKATA JAYA SURYA

· 11mos ago

Good

TIPIREDDY MANOGNYA

· 11mos ago

good

S.Mahathi

· 11mos ago

Good

Zaahid Shaik

· 11mos ago

good

Deepika.K

· 11mos ago

good

Jan swathi

· 11mos ago

good

PRATTIPATI OMKAR SAMBASIVUDU

· 11mos ago

good

TAMMI SRINIDHI

· 11mos ago

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

BHANOORI ASHWITHA

· 11mos ago

very nice

Lingareddy Himasutha

· 11mos ago

good

Data Structures and Algorithms | C 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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