YoVDO

Big O Notations - Understanding Algorithm Efficiency

Offered By: Derek Banas via YouTube

Tags

Algorithm Analysis Courses Computer Science Courses Data Structures Courses Scalability Courses Time Complexity Courses Space Complexity Courses

Course Description

Overview

Learn about Big O notations in this 21-minute tutorial video. Explore how computer algorithms scale as data volume increases, covering O(1), O(N), O(N^2), O(log N), and O(N log N) notations. Gain a simplified understanding of these concepts through clear explanations and practical examples. Discover how Big O notations are used to measure algorithm efficiency, not just in terms of speed but also in relation to data growth. Follow along with the provided code examples to reinforce your understanding of these fundamental computer science concepts.

Syllabus

Big O Notations


Taught by

Derek Banas

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