Free Course

Intro to Theoretical Computer Science

Dealing with Challenging Problems

Nanodegree Program

Become a Machine Learning Engineer

byKaggle

Accelerate your career with the credential that fast-tracks you to job success.

About this Course

This class teaches you about basic concepts in theoretical computer science -- such as NP-completeness -- and what they imply for solving tough algorithmic problems.

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Course Cost
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product

Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

Join the Path to Greatness

This course is your first step towards a new career with the Become a Machine Learning Engineer Program.

Free Course

Intro to Theoretical Computer Science

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

Sebastian Wernicke

Sebastian Wernicke

Instructor

Sean Bennett

Sean Bennett

Instructor

Sarah Norell

Sarah Norell

Instructor

Prerequisites and Requirements

You should have a basic understanding of algorithms (such as CS215) and programming (such as CS101). No prior knowledge about theoretical computer science required!

See the Technology Requirements for using Udacity.

Why Take This Course

At the end of this course, you will have a solid understanding of theoretical computer science. This will not only allow you to recognize some of the most challenging algorithmic problems out there, but also give you powerful tools to deal with them in practice.

What do I get?
Instructor videosLearn by doing exercisesTaught by industry professionals