4.5  278 reviews on Udemy

Complete Algorithms Complexity and Big O Notation Course

From beginner to professional in 2 hours!
Course from Udemy
 1428 students enrolled
 en
Algorithm Time and Space Complexity Evaluation
Big O Notation
Interview Coding Tasks Review
Time Complexity Cases
Time Complexities Comparison
Mathematical Comparison of Functions
Typical Complexities Evaluation
log N Complexity
Strings and Complexity Evaluation
Recursive Algorithms Complexity
Amortized Analysis
Space Complexity

To develop effective code, each developer needs to know how to evaluate the complexity of the algorithms.

The course "Big O Notation. Algorithms Complexity Evaluation." in simple language explains the mathematics behind the complexity of algorithms, cases of complexity, the complexity of recursion, strings, amortized analysis and space complexity. In addition we solve 15 examples, some of which are found in interviews on Google, Facebook, Amazon.

We have reworked many books and articles to the most effective for perception and understanding form. As a result this course is independent by its nature and does not require studying of any additional materials. Basic programming skills is the only requirement to understand the course!

Important note: you can always pause the video and process into every aspect of the material in detail!

Complete Algorithms Complexity and Big O Notation Course
$ 99.99
per course
Also check at

FAQs About "Complete Algorithms Complexity and Big O Notation Course"

About

Elektev is on a mission to organize educational content on the Internet and make it easily accessible. Elektev provides users with online course details, reviews and prices on courses aggregated from multiple online education providers.
DISCLOSURE: This page may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.

SOCIAL NETWORK