Rohit-Negi-DSA

Learn Rohit Negi DSA Course with comprehensive video tutorials and hands-on projects.

Rohit Negi

Meet Your Instructor: Rohit-Negi

Rohit Negi is an experienced DSA mentor and educator specializing in data structures, algorithms, and technical interview preparation. With a deep understanding of problem-solving patterns and algorithmic thinking, Rohit helps students develop the critical skills needed to excel in competitive programming and technical interviews. His teaching methodology emphasizes pattern recognition, systematic problem-solving approaches, and building confidence through consistent practice. Rohit's comprehensive courses cover everything from fundamental data structures to advanced algorithmic techniques, preparing students for careers at top technology companies. Rohit's journey as a DSA educator is driven by his passion for helping students overcome the challenges of learning data structures and algorithms. Having experienced the difficulties that many students face when preparing for technical interviews and competitive programming, Rohit understands the importance of a structured, pattern-based approach to learning DSA. His teaching philosophy centers on building strong problem-solving skills through pattern recognition, systematic thinking, and consistent practice, enabling students to tackle new problems confidently. Rohit's expertise in data structures is comprehensive and practical. He covers all essential data structures including arrays, linked lists, stacks, queues, trees, graphs, heaps, hash tables, and advanced structures like trie and segment trees. For each data structure, Rohit teaches not just the implementation, but also the underlying concepts, time and space complexity analysis, and practical applications. His approach helps students understand when to use each data structure and how to optimize their solutions. Algorithmic thinking is at the core of Rohit's teaching approach. He helps students develop the ability to break down complex problems into manageable parts, identify patterns, and apply appropriate algorithmic techniques. Rohit's courses cover essential algorithms including sorting, searching, recursion, backtracking, dynamic programming, greedy algorithms, and graph algorithms. His explanations are clear and intuitive, helping students understand not just how algorithms work, but why they work and when to use them. Pattern recognition is a key focus of Rohit's teaching methodology. He has identified common patterns in coding problems and teaches students how to recognize these patterns and apply appropriate solutions. This approach is particularly effective for technical interview preparation, as it helps students quickly identify the type of problem they're facing and apply the right solution strategy. Rohit's pattern-based approach enables students to solve problems more efficiently and build confidence in their problem-solving abilities. Dynamic programming is one of the most challenging topics in DSA, and Rohit's coverage of this subject is particularly strong. He breaks down dynamic programming into understandable concepts, teaching students how to recognize DP problems, identify overlapping subproblems, formulate recurrence relations, and implement efficient solutions. Rohit's courses include extensive practice problems covering different types of DP problems, from basic to advanced, helping students master this challenging topic. Rohit's teaching methodology emphasizes systematic problem-solving approaches. He teaches students how to approach problems methodically, starting with understanding the problem, identifying constraints, brainstorming solutions, analyzing time and space complexity, and optimizing solutions. This systematic approach helps students develop the problem-solving skills needed to tackle new and unfamiliar problems confidently. Building confidence is another important aspect of Rohit's teaching approach. He understands that many students struggle with self-doubt when learning DSA, and his courses are designed to build confidence through consistent practice and gradual progression. Rohit provides numerous practice problems organized by difficulty level, enabling students to start with easier problems and gradually progress to more challenging ones. This approach helps students build confidence and develop proficiency in problem-solving. Rohit's courses are designed with technical interview preparation in mind. He provides guidance on common interview questions, coding interview strategies, and tips for communicating solutions effectively. Rohit's experience with technical interviews enables him to provide insights into what interviewers look for, how to approach problems during interviews, and how to present solutions clearly. His interview preparation modules include mock interviews and practice sessions that help students prepare effectively for technical interviews. Competitive programming is another area where Rohit's expertise shines. He helps students develop the skills needed to excel in competitive programming contests, including fast problem-solving, efficient coding, and optimization techniques. Rohit's courses cover competitive programming strategies, common problem types, and techniques for improving performance in contests. His guidance has helped many students improve their competitive programming skills and achieve success in various programming contests. Rohit's teaching style is characterized by clear explanations, practical examples, and interactive learning. He believes in learning by doing, and his courses emphasize solving problems and practicing coding. Rohit provides detailed solutions to problems, explaining not just the code, but also the reasoning and methodology behind it. This approach helps students understand solutions deeply and learn to apply similar approaches to new problems. Rohit's commitment to student success extends beyond course delivery. He maintains an active presence in student communities, provides personalized guidance, and offers continuous support throughout the learning journey. Rohit's dedication to helping students succeed has earned him the respect and gratitude of thousands of students who have improved their DSA skills and achieved success in technical interviews and competitive programming through his guidance. The success stories from Rohit's students speak volumes about the effectiveness of his teaching approach. Many students have secured positions at top tech companies, improved their competitive programming rankings, and developed strong problem-solving skills through Rohit's courses. Rohit's impact on the DSA education landscape is significant, and his pattern-based teaching approach has become a benchmark for effective DSA education. Through his comprehensive courses, systematic teaching approach, and commitment to student success, Rohit Negi has established himself as one of the most effective and respected DSA educators, helping thousands of students develop the problem-solving skills and confidence needed to excel in technical interviews, competitive programming, and software development careers.

Data Structures and AlgorithmsProblem-Solving PatternsInterview Preparation

Experience: 6+ years

Students Helped: 25,000+

Specialization: DSA & Interview Preparation

Course Overview

This comprehensive course is designed to take you from foundational concepts to advanced implementation in dsa & interview preparation. You'll learn through pattern-based problem-solving with systematic approaches, emphasis on recognizing common patterns, and building strong algorithmic foundations, building real-world projects that demonstrate your skills and enhance your portfolio.

Whether you're looking to start a new career in technology or advance your current skills, this course provides the structured learning path and practical experience you need to succeed in today's competitive tech industry.

Course Curriculum

Master data structures and algorithms from basics to advanced
Learn problem-solving techniques and coding patterns
Understand time and space complexity analysis
Master competitive programming and interview preparation
Solve coding problems from various difficulty levels
Build strong algorithmic thinking and problem-solving skills

Course Content

1

Lecture 01 : Introduction To Programming

Video 1
2

Lecture 02: Introduction to C++ and Write First Code

Video 2
3

Lecture 03:If-Else Condition, Operators and Basic of Loops

Video 3
4

Lecture 04:For Loop + While Loop + Pattern Printing

Video 4
5

Lecture 05:Pattern Printing+WhileLoop+Basic Maths

Video 5
6

Lecture 06:Decimal to Binary + Functions

Video 6
7

Lecture 07:Function + Array

Video 7
8

Lecture 08:Basic Questions on Array

Video 8
9

Lecture 09:Print array Element + Sorting Algorithm

Video 9
10

Lecture 10:Sorting Algorithm( Selection, Bubble, Insertion)

Video 10
11

Lecture 11:Time and Space Complexity

Video 11
12

Lecture 12:Time And Space Complexity Part2

Video 12
13

Lecture 13:Binary Search

Video 13
14

Lecture 14:Binary Search in Detail

Video 14
15

Lecture 15:Data Structure And Algorithm

Video 15
16

Lecture 16:Two Pointer

Video 16
17

Lecture 17:2-D Array in detail

Video 17
18

Lecture 18:2D Array+ Vector

Video 18
19

Lecture 19:Data Structure And Algorithm

Video 19
20

Lecture 20:String (Hard Questions)

Video 20
21

Lecture 21:String (KMP Algorithm)

Video 21
22

Lecture 22:Pointer in C++

Video 22
23

Lecture 23:Pointer in Advance

Video 23
24

Lecture 24 :2D array + Recursion

Video 24
25

Lecture 25:Recursion

Video 25
26

Lecture 26:Merge Sort+ Quick Sort

Video 26
27

Lecture 27:Quick sort + Recursion

Video 27
28

Lecture 28:Recursion + Robber House

Video 28
29

Lecture 29:Recursion + Pallindrome+Permutation

Video 29
30

Lecture 30:Object Oriented Programming

Video 30
31

Lecture 31:Linked List

Video 31
32

Lecture 32:Linked List

Video 32
33

Lecture 33:Linked List Advance

Video 33
34

Lecture 34:Linked List Advance

Video 34
35

Lecture 35:Stack and its implementation

Video 35
36

Lecture 36:Stack Medium level

Video 36
37

Lecture 37:Stack Hard Question

Video 37
38

Lecture 38:Queue

Video 38
39

Lecture 39:Queue Advance

Video 39
40

Lecture 40:Trees

Video 40
41

Lecture 41: Tree Traversal + View

Video 41
42

Lecture 42: Tree traversal

Video 42
43

Lecture 43: Tree More question

Video 43
44

Lecture 44: Tree Hard

Video 44
45

Lecture 45: Binary Search Tree

Video 45
46

Lecture 46: Binary search Tree

Video 46
47

Lecture 47: BST Hard

Video 47
48

Lecture 48: Balance Binary Search Tree

Video 48
49

Lecture 49: AVL and Heap

Video 49
50

Lecture 50: Heap

Video 50
51

Lecture 51: Heap

Video 51
52

Lecture 52: Heap Hard

Video 52
53

Lecture 53: Heap hard Question

Video 53
54

Lecture 54: Hashing

Video 54
55

Lecture 55: Hashing and maps

Video 55
56

Lecture 56: Hashing and Maps

Video 56
57

Lecture 57: Graphs

Video 57
58

Lecture 58: Graphs

Video 58
59

Lecture 59: Detect Cycle in Graphs

Video 59
60

Lecture 60: BFS in Advance

Video 60
61

Lecture 61: Directed Graph Cycle + Topological sort

Video 61
62

Lecture 62: Shortest Distance + Spanning Tree

Video 62
63

Lecture 63: Graphs Advanced

Video 63
64

Lecture 64: Prims and Kruskal Algorithm

Video 64
65

Lecture 65: Strongly Connected component + Bellmonford

Video 65
66

Lecture 66: Bellman Ford + floyd WaRSHAL

Video 66
67

Lecture 67: Graph Advance Euler

Video 67
68

Lecture 68: Articulation Point

Video 68
69

Lecture 69: Dynamic Programming

Video 69
70

Lecture 70: House Robber Coin change

Video 70
71

Lecture 71: Knapsack problem

Video 71
72

Lecture 72: Knapsack full

Video 72
73

Lecture 73: LCS + Pallindrome

Video 73
74

Lecture 74: DP Longest Increasing Subsequence || LCS || LAP

Video 74
75

Lecture 75: Grid + Stock

Video 75
76

Lecture 76: Stock+How to define row and column in dp

Video 76
77

Lecture 77: Stock and player game

Video 77
78

Lecture 78: DP Advance Question

Video 78
79

Lecture 79: Trie and it's Implementation

Video 79
80

Lecture 80: Segment Tree

Video 80
81

Special Message for Students

Video 81

Requirements

  • Basic programming knowledge in any language
  • Understanding of basic programming concepts
  • Internet connection for video streaming
  • Code editor (VS Code recommended) for practice
  • Willingness to practice coding problems regularly

Course Features

Lifetime Access
Certificate of Completion
Mobile and Desktop Access
Downloadable Resources
Community Support

Ready to Start Learning?

Join thousands of students who have already enrolled in this course.

Start Learning Now