4.5
Beginner
10h
Updated this week
Big-O Notation For Coding Interviews and Beyond
The ultimate guide to Big-O notation for coding interviews, developed by FAANG engineers. Learn algorithm complexity in simple terms and get interview-ready in just a few hours.
This course is intended for professionals that lack formal education in computer science, and that are in search of a simple and practical guide to algorithmic complexity. The course explains the concepts in layman's terms, and teaches how to reason about the complexity of algorithms without requiring one to have an extensive mathematical skillset. This course can also be handy for revising complexity concepts or Big-O analysis before interviews. Finally, the content also scratches the surface of some advanced analysis topics to provide a more encompassing image of the complexity theory.
This course is intended for professionals that lack formal education in computer science, and that are in search of a simple and...Show More
Learning Roadmap
1.
Basics
Basics
Get familiar with the importance of time and space complexity, algorithm performance analysis, and instruction counting.
2.
Formal Analysis Tools
Formal Analysis Tools
Get started with formal tools for analyzing algorithm performance, growth, and complexity.
3.
Recursive
Recursive
8 Lessons
8 Lessons
Examine recursion, binary search, permutations, dynamic programming, and algorithm efficiency analysis.
4.
Data-Structures
Data-Structures
9 Lessons
9 Lessons
Grasp the fundamentals of essential data structures and their complexities for efficient coding.
5.
Amortized Analysis
Amortized Analysis
5 Lessons
5 Lessons
Take a closer look at the cost efficiency of operations using amortized analysis methods.
6.
Probabilistic Analysis
Probabilistic Analysis
5 Lessons
5 Lessons
Understand probability, random variables, probability distributions, expected value, and the Tinder Problem.
7.
Complexity Theory
Complexity Theory
6 Lessons
6 Lessons
Build on the importance of understanding complexity theory, P vs NP, and problem classes.
8.
The End
The End
2 Lessons
2 Lessons
Grasp key Big-O complexities for algorithms and data structures to make informed decisions.
Certificate of Completion
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Course Author:
Developed by MAANG Engineers
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