Namaste DSA
From zero to hero in Data Structures & Algorithms. Structured, hands-on, problem-solving heavy course which aims at giving you huge conceptual clarity and interview-readiness. :contentReference[oaicite:2]{index=2}
Meet Your Instructor: Akshay-Saini
Akshay Saini is an exceptional software engineer, educator, and the visionary founder of NamasteDev, a platform that has transformed how thousands of developers learn modern web technologies. Best known for his groundbreaking YouTube series 'Namaste JavaScript', Akshay has created one of the most comprehensive and beginner-friendly resources for mastering JavaScript, React, Node.js, DSA, and Frontend System Design. His unique teaching methodology combines real-world analogies, storytelling techniques, and in-depth coding examples to make complex frontend concepts intuitive and memorable. With prior experience as a Software Engineer at Uber, Akshay brings industry expertise and best practices directly from the world's leading tech companies to his students, ensuring they learn not just how to code, but how to build scalable, production-ready applications.
Experience: 8+ years
Students Helped: 300000+
Specialization: Frontend Development & JavaScript
Course Overview
This comprehensive course is designed to take you from foundational concepts to advanced implementation in frontend development & javascript. You'll learn through revolutionary teaching approach using real-world analogies, storytelling, in-depth coding examples, and building complete applications from scratch, 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
Course Syllabus
Introduction – Course Overview & Language Choice :contentReference[oaicite:3]{index=3}
Warm Up – Programming 101, Loops, Star Patterns etc. :contentReference[oaicite:4]{index=4}
Time & Space Complexity – Analyse your code performance :contentReference[oaicite:5]{index=5}
Arrays - Easy/Medium – Remove Duplicates, Missing Number etc. :contentReference[oaicite:6]{index=6}
Recursion – Easy/Medium – Basics, Sum of array etc. :contentReference[oaicite:7]{index=7}
Searching & Sorting – Easy/Medium – Linear Search, Merge Sort etc. :contentReference[oaicite:8]{index=8}
Linked List – Easy/Medium – Introduce, Reverse, Cycle Detection etc. :contentReference[oaicite:9]{index=9}
Strings – Easy/Medium – Anagrams, Palindromes etc. :contentReference[oaicite:10]{index=10}
Stack & Queues – Implementation & Problem Solving :contentReference[oaicite:11]{index=11}
Binary Search Algorithm – Square Root, Rotated Arrays etc. :contentReference[oaicite:12]{index=12}
Two Pointers & Sliding Window – Two Sum, Longest Substring etc. :contentReference[oaicite:13]{index=13}
Binary Tree – Traversals, Depth, Path Sum etc. :contentReference[oaicite:14]{index=14}
Binary Search Tree – Introduction, Insert, Search etc. :contentReference[oaicite:15]{index=15}
Heap / Priority Queue – Heap Sort, Kth Largest, Streams etc. :contentReference[oaicite:16]{index=16}
Backtracking – Subsets, Permutations, N Queens etc. :contentReference[oaicite:17]{index=17}
Greedy Algorithm – Two City Scheduling, Task Scheduler etc. :contentReference[oaicite:18]{index=18}
Dynamic Programming – LIS, Coin Change, Word Break etc. :contentReference[oaicite:19]{index=19}
Graphs – BFS, DFS, Topological Sort etc. :contentReference[oaicite:20]{index=20}
Tries – Introduction and application in strings & searching :contentReference[oaicite:21]{index=21}
Searching & Sorting – Advanced topics revisited :contentReference[oaicite:22]{index=22}
Arrays – Advanced topics revisited :contentReference[oaicite:23]{index=23}
Strings – Advanced topics revisited :contentReference[oaicite:24]{index=24}
Bonus – Salary Negotiation, Resume Masterclass, Personal Branding, LinkedIn Masterclass :contentReference[oaicite:25]{index=25}
Requirements
- Basic programming knowledge recommended
- Laptop/desktop with internet connection
- Willingness to practice 100s of coding problems
- Open mind and consistency to learn rigorous concepts
Course Features
Course Details
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