DSA Patterns Course
About Course
Learn the most important DSA patterns used in coding interviews
in simple Hindi / Hinglish with step-by-step explanation.
This course focuses on patterns, which is one of the most important skills required to solve coding interview questions.
This course is for:
- Beginners learning DSA
- College students preparing for placements
- Students preparing for coding interviews
- LeetCode / coding practice learners
- Anyone who wants to understand DSA patterns
What you will learn:
- Time & Space Complexity
- Arrays & Strings
- Two Pointers Pattern
- Sliding Window Pattern
- Hashing (Map-Set) Pattern
- Prefix Sum Pattern
- Linked List
- Fast & Slow Pointer Pattern
- Linked-List In Place Reversal Pattern
- Stack & Queue
- Monotonic Stack Pattern
- Top K Elements Pattern
- Modified Binary Search Pattern
- Greedy Pattern
- Overlapping Intervals Pattern
- Recursion
- Tree (DFS - BFS) Pattern
- Backtracking Pattern
- Dynamic Programming(1D - 2D) Pattern
- Bitwise Manipulation Pattern
- Graph (DFS-BFS) Pattern
- Divide and Conquer Pattern
Course Features:
- Hindi / Hinglish explanation
- Pattern based teaching
- Beginner friendly
- Hindi explanation
- Interview focused
- Lifetime access
- Affordable price
Prerequisites :
Basic understanding of any one of these three programming languages(Java, Python & C++)
Instructor:
Rakesh Kumar
DSA / System Design / AI Educator
BTech CSE NIT Raipur
15K+ coding community
Course Curriculum
Master In-Demand Skills for Career Advancement
Learn from 11+ Years of Industry Experience
Gain practical knowledge from a NIT Raipur CSE graduate who has mastered Data Structures, Algorithms, and System Design through real-world software development.
Crack Coding Interviews with Confidence
Master DSA patterns, LeetCode problem-solving strategies, and system design concepts systematically structured for technical interview success.
Advance Your Technical Expertise
Develop proficiency in AI/ML concepts, algorithm optimization, and advanced programming techniques applicable to real-world software engineering challenges.