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Big-O Notation For Coding Interviews and Beyond

Beginner

47 Lessons

10h

Certificate of Completion

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

15 Playgrounds

12 Quizzes

Course Overview

Course Content

Recommendations

Course Overview

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 advan...Show More

Course Content

Basics

6 Lessons

Introduction

Need for Speed

Analyzing Algorithms

Analyzing Algorithms Part II

Analyzing Algorithms Part III

Problem Set 1

Formal Analysis Tools

6 Lessons

Functions and Their Growth

Theta Notation

Big O and Big Omega Notations

Small omega and Small o Notations

Problem Set 2

Solution Set 2

Recursive

8 Lessons

Recurrence

Recurrence Part II

Binary Search - Recursive Implementation

Permutations

Dynamic Programming

Top Down and Bottom Up Approaches

Problem Set 3

Solution Set 3

Data-Structures

9 Lessons

Priority Expiry Cache Problem

Amortized Analysis

5 Lessons

Cost Over Sequence of Operations

Probabilistic Analysis

5 Lessons

Quantifying Chance & Randomness

Random Variables

Probability Distribution

Expected Value of a Random Variable

The Tinder Problem

Complexity Theory

6 Lessons

Why should I bother?

P and NP classes

Get Rich with Complexity

NP-Complete and NP-Hard

Between P and NP ?

Problem Set 6

The End

2 Lessons

Cheat Sheet

Epilogue

Course Author

C. H. Afzal

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