Data Structures and Algorithms

Whether you want to be a web developer, a machine learning engineer, or a data scientist, having a deep understanding of Data Structures and Algorithms is essential to acing job interviews and becoming a successful software engineer. As Linus Torvalds famously said, "Bad programmers worry about the code. Good programmers worry about data structures and their relationships".
The Data Structures and Algorithms Nanodegree program will help you excel at solving everything from well-defined problems, like how to calculate the efficiency of a specific algorithm, to more open-ended problems, like building your own private blockchain or writing a web-crawler.
You’ll work on over 80 exercises and four real-world projects so that you can get the hands-on practice required to learn how to implement appropriate solutions based on your design choices.

While this course is not designed to prepare you for a specific job, after completing this program, you will have had extensive practice solving data structures and algorithm problems to help you prepare for the data structures and algorithms part of coding interviews.

If you are looking to improve your skills in data structures and algorithms -- to prepare for the technical portion of job interviews, to improve your software engineering skills, etc. -- then this Nanodegree program will provide you with extensive practice with defined and open-ended problems so that you learn how to implement the appropriate solution based on your design choices.

This Nanodegree program was a collaboration between Udacity’s content and engineering teams, as well as industry experts.
Curriculum Advisors

• Mat Leonard, Product Lead, School of AI at Udacity

Instructors

• Brynn Claypoole, Software Engineer at 10x Genomics
• Kyle Stewart Frantz, Content Developer at Udacity
• Abe Feinberg, Content Developer at Udacity

Other Udacity Contributors:

• Dane Hammer, Robin Robin, James Bibby, Pradeep Uppala, Brok Bucholtz, Cezanne Camacho, Alan Anderson, Peiyan, David Harris, Stephen Welch, and Chris Gearhart