Data Structures and Algorithms Specialization by University of California San Diego

"I don't comprehend things unless I try to write them," declared Donald Knuth, a computer science superstar. They also feel that programming an algorithm is the best method to learn it. However, despite the fact that many good books and online courses on algorithms succeed in introducing algorithmic notions, they have yet to teach you how to apply algorithms, the critical computer science ability that you will need to master at your next job interview.

They attempted to fill this void by assembling a diversified faculty that included world-renowned experts in theoretical and practical algorithms from UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) as well as a former Google software engineer (Neil Rhodes). This Specialization stands out among other good MOOCs on algorithms established by theoretical computer scientists because of its unique blend of abilities.

This Specialization, one of the best Online Courses to Learn Computer Science, combines algorithmic theory, practice, and applications with software engineering, whereas these MOOCs focus on theory. You'll study algorithms by solving approximately 100 coding challenges in your preferred programming language. No other online Algorithms course comes close to providing you with as many programming tasks (and riddles!) as this one does. They spent over 3000 hours creating challenges as an alternative to the typical multiple choice questions found in MOOCs.

This course offers:

• Flexible Schedule: Set and maintain flexible deadlines.
  

• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 6 months to complete:Suggested pace of 1 hour/week
  
• Subtitles: English

Coursera Rating: 4.6/5
Enroll here: https://www.coursera.org/specializations/data-structures-algorithms