RiseUpp Logo
Educator Logo

Algorithms Specialization

Master fundamental algorithm design and analysis with Stanford's comprehensive computer science program.

Master fundamental algorithm design and analysis with Stanford's comprehensive computer science program.

This rigorous specialization introduces fundamental algorithms and their applications, emphasizing conceptual understanding over implementation details. Taught by Stanford professor Tim Roughgarden, the program covers essential topics in computer science including sorting, searching, graph algorithms, and dynamic programming.

4.8

(5,639 ratings)

1,22,715 already enrolled

English

বাংলা, پښتو, اردو, 2 more

Powered by

Provider Logo
Algorithms Specialization

This course includes

55 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

24,791

What you'll learn

  • Master algorithmic problem-solving techniques

  • Understand asymptotic analysis and complexity theory

  • Implement fundamental algorithms in your chosen language

  • Analyze and optimize algorithm performance

  • Design efficient solutions using various algorithmic paradigms

  • Tackle complex computational problems effectively

Skills you'll gain

Algorithms
Data Structures
Dynamic Programming
Graph Theory
Greedy Algorithms
NP-Completeness
Divide and Conquer
Randomized Algorithms
Computational Complexity
Problem Solving

This course includes:

40 Hours PreRecorded video

Weekly programming assignments and quizzes

Access on Mobile

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Provided by

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 courses in this program

Algorithm Fundamentals: Sort, Search & Randomization

Course 1 · 14 Hours to complete · 4 modules

Graph Search, Shortest Paths, and Data Structures

Course 2 · 13 Hours to complete · 4 modules

Advanced Algorithms: Greedy Methods & Dynamic Programming

Course 3 · 12 Hours to complete · 4 modules

Shortest Paths & NP-Complete Problems

Course 4 · 13 Hours to complete · 4 modules

Fee Structure

Payment options

Financial Aid

Algorithms Specialization

This course includes

55 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

24,791

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.