Merge Sort Explained for Beginners | Free DSA Tutorial with Vaibhav Shukla | Part 2

Merge Sort Explained for Beginners | Free DSA Tutorial with Vaibhav Shukla | Part 2

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📚 Master Merge Sort in DSA | Learn step-by-step how the Merge Sort algorithm works with this beginner-friendly tutorial by Vaibhav Shukla. In Part 2 of our free DSA series, we’ll dive deep into the fundamentals, logic, and implementation of Merge Sort to help you ace your coding interviews and competitive programming challenges.

🎯 What You'll Learn in This Video:

-How Merge Sort Works
-Step-by-step explanation of the divide-and-conquer approach
-Coding implementation of Merge Sort
-Real-world applications of the algorithm

💡 Why Watch This Tutorial?

This video is part of our Free DSA Masterclass, designed to simplify complex algorithms and help you excel in data structures and algorithms. Whether you're a beginner or need a refresher, this tutorial is perfect.

0:00 Introduction
0:37 Understanding Merge Function
27:04 Time complexity of merge sort
28:12 Conclusion

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[vikranthreddy]

- At each level of the recursion, the merging step takes \(O(n)\) time.
- There are \(\log n\) levels of recursion.
So, the total time complexity is \(O(n) \cdot O(\log n) = O(n \log n)\).