Insertion Sort Efficiency Explained | Big O Best, Average & Worst Case Scenarios (Chap 6: Part 2/2)

In this video, we go beyond just coding Insertion Sort — we analyze its efficiency in different scenarios and understand why Big O matters in real-world coding.

📌 What you’ll learn in this video:
✔ How to calculate comparisons, shifts, removals, and insertions in Insertion Sort
✔ Why Insertion Sort is O(N²) in the worst case but can perform much faster in practice
✔ Difference between best-case, average-case, and worst-case scenarios
✔ Why average cases matter more than worst cases in real coding
✔ Comparison: Insertion Sort vs Selection Sort vs Bubble Sort
✔ Practical coding example: Optimizing an array intersection algorithm with break
✔ How to improve algorithms by considering optimistic scenarios

👉 This is Part 2/2 of Chapter 6 from A Common-Sense Guide to Data Structures and Algorithms.
👉 Don’t miss Part 1 where we explain Insertion Sort step by step with code implementation.
📌 Watch Part 1 here: https://youtu.be/Xn1kN-bBLwo
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Видео Insertion Sort Efficiency Explained | Big O Best, Average & Worst Case Scenarios (Chap 6: Part 2/2) канала HM Academy