Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Build the Finance Skills That Lead to Promotions, Not Just Certificates
Overview
Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This tutorial introduces Big O notation and demonstrates time complexity analysis for algorithms through progressively difficult practice questions, including nested loops, multiple inputs, and recursion.
Syllabus
| Overview
| What is Big O Notation?
| Big O Notation Explained
| Practice Question 0 Easy
| Practice Question 1 Easy
| Practice Question 2 Easy
| Practice Question 3 Medium
| Practice Question 4 Medium
| Practice Question 5 Medium
| Practice Question 6 Medium
| Practice Question 7 Medium
| Practice Question 8 Hard
| Practice Question 9 Hard
| Practice Question 10 Hard
| Practice Question 11 Hard
Taught by
Tech With Tim