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Algorithms: Design and Analysis
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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.

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4.7

79,090 Enrolled

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English

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olive-leaves-logo

4.7

79,090 Enrolled

olive-leaves-logo

English

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

Algorithms
Data Structures
Big O Notation
Divide and Conquer
Graph Theory
QuickSort
Hash Tables
Binary Search Trees
Programming
Problem Solving

This course includes:

PreRecorded video

6 multiple choice quizzes, 6 programming assignments, Final exam

Access on Mobile, Tablet, Desktop

Limited Access access

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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.

Algorithms: Design and Analysis

Intermediate

Skill Level

6 Weeks

Self-paced lessons

Course Cost

₹ 16,076

Completion

CERTIFICATE

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.