Learn Algorithms
An interactive online course
Big-O complexity is arguably the most important concept students learn in a formal computer science degree. This Python course will give you the foundation you need to start your career off on the right foot. After completing this course you'll be comfortable crushing algorithm interview questions and writing performant code.
16 Hours
of material
88 challenges
and quizzes
Certificate
of completion
A key part of the
back-end career path
Avoid tutorial hell
by writing a ton of code
Learn flexibly online
without interrupting your life
What will you learn?
Chapter list
1
Introduction
Learn about what algorithms are and why they matter
2
Math
Learn about some of the math required to understand Big-O notation
3
Polynomial Time
Figure out what polynomial time means in the context of algorithms and performant code
4
Sorting Algorithms
Learn how data is sorted on a computer, and how to sort it faster
5
Exponential Time
Understand why exponential time complexity is so dangerous
6
P vs NP
Learn about P and NP
