Algorithms Courses and Certifications

Complete Algorithms Complexity and Big O Notation Course

938 ratings at Udemy

Master algorithm complexity evaluation and Big O notation through practical examples, including solutions to FAANG interview questions and recursive algorithms analysis.

• Udemy
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Algorithms, Part II

21 ratings

Explore advanced algorithms and data structures, focusing on graph and string processing. Learn efficient Java implementations and analyze their performance for real-world applications.

• Coursera
• 63 hours
• Self-Paced
• Paid Course

Mastering critical SKILLS in Algorithms using C++: Part 1

588 ratings at Udemy

Part 1 and 2 have 140 Challenges and solutions to sharpen your problem-solving skills and smooth interviews preparations

• Udemy
• 18 hours 57 minutes
• Self-Paced
• Paid Course

Coding Train

Algorithms and Graphs - Intelligence and Learning - Session 1

Explore algorithms and graph theory through hands-on coding challenges including binary trees, pathfinding, maze generation, and the traveling salesperson problem.

• YouTube
• 4 hours 55 minutes
• Self-Paced
• Free Video

Harvard CS50 – Full Computer Science University Course

1447 ratings

Learn the basics of computer science from Harvard University. This is CS50, an introduction to the intellectual enterprises of computer science and the art of programming.

• freeCodeCamp
• 24 hours
• Self-Paced
• Free Video

Mastering critical SKILLS in Algorithms using C++: Part 2

282 ratings at Udemy

70 Challenges to master recursive based techniques, shortest-path and MST algorithms.

• Udemy
• 15 hours 4 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms with Visualizations – Full Course (Java)

1 rating

Comprehensive Java course on data structures and algorithms with visualizations, covering arrays, linked lists, trees, graphs, sorting, searching, and problem-solving techniques for coding interviews.

• freeCodeCamp
• 23 hours 46 minutes
• Self-Paced
• Free Video

MCS-211 : Design and Analysis of Algorithms

Master algorithm design and analysis through comprehensive coverage of fundamental concepts, from basic complexity analysis to advanced NP-completeness, including practical implementations of various algorithmic techniques.

• Swayam
• 6 weeks
• Self-Paced
• Free Online Course

NITTTR

Algorithms

Discover fundamental algorithmic concepts and problem-solving techniques through comprehensive analysis, design patterns, and implementation strategies over 12 weeks.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Design and Analysis of Algorithms with Applications

Explore algorithm design paradigms—divide and conquer, dynamic programming, greedy methods, and more—with real-world applications in weather prediction, image processing, and engineering simulations.

• Swayam
• Self-Paced
• Free Online Course

Algorithms in Python

Explore algorithm design and analysis in Python through natural language processing projects, covering correctness, efficiency, Big-O notation, and hidden runtime costs.

• Brilliant
• Self-Paced
• Paid Course

Master the Pathfinding Algorithms with JavaScript and React

Enhance your JavaScript and React skills, build a portfolio project, and understand the pathfinding algorithms on a deeper level in this project-based course!

• Zero To Mastery
• 2 hours
• Self-Paced
• Paid Course

CS50 2012 - Week 3 Continued: Search Algorithms and Sorting Techniques

Explore efficient search and sorting algorithms, including linear and binary search, bubble sort, selection sort, and merge sort. Learn asymptotic notation for algorithm analysis.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Keith Galli

College Level Algorithms Explained Simply

Master college-level algorithms through simple explanations of sorting, asymptotic notation, recurrence relations, and dynamic programming with practical examples.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Sundeep Saradhi Kanthety

Design and Analysis of Algorithms

Master algorithmic problem-solving with comprehensive coverage of divide & conquer, dynamic programming, greedy methods, graph algorithms, and backtracking techniques for interviews.

• YouTube
• 1 day 4 hours 21 minutes
• Self-Paced
• Free Video