Algorithms: Design and Analysis
Learn essential algorithms and data structures with Stanford's comprehensive course covering sorting, searching, and graph theory.
Course Cost
₹ 16,076
Intermediate
Skill Level
6 Weeks
Self-paced lessons
Dive into the fundamentals of computer science with Stanford's rigorous algorithms course. This specialization provides a thorough understanding of algorithmic concepts and their practical applications. You'll master Big-O notation, sorting algorithms, divide-and-conquer strategies, randomized algorithms, data structures, and graph primitives. The course emphasizes conceptual understanding over implementation details, preparing you for technical interviews and advanced computer science discussions. Through hands-on programming assignments and quizzes, you'll gain practical experience implementing these concepts in your preferred programming language.
What you'll learn
Understand and apply Big-O notation for algorithm analysis
Master sorting and searching algorithms with implementation techniques
Implement divide and conquer algorithms including master method and matrix multiplication
Design and analyze randomized algorithms such as QuickSort
Work with advanced data structures including heaps, balanced search trees and hash tables
Apply graph primitives for connectivity and shortest path problems
Skills you'll gain
This course includes:
PreRecorded video
6 multiple choice quizzes, 6 programming assignments, Final exam
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This course offers a comprehensive introduction to fundamental algorithms and data structures, essential for computer science and software development. Topics include algorithmic complexity analysis using Big-O notation, sorting and searching algorithms, divide-and-conquer strategies, randomized algorithms like QuickSort, essential data structures including heaps and hash tables, and graph algorithms. The course emphasizes conceptual understanding while providing practical implementation experience through programming assignments. Students learn to analyze algorithm efficiency, implement various data structures, and apply algorithmic thinking to solve complex problems.
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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.




