Algorithm Analysis Courses and Certifications

Maximizing Efficiency in Problem-Solving Techniques in C++

Turn brute-force solutions into efficient ones in C++ — four-sum searches, prefix medians with heaps, and range queries backed by STL sets and sorted lists.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Mastering Algorithms: Map, Set, and Two Pointers in JavaScript

Optimize JavaScript solutions with Maps, Sets, arrays, complexity analysis, and two-pointer techniques.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Master Dictionaries, Two Pointers, and More Algorithms in C#

Optimize C# algorithms with dictionaries, hash sets, and two-pointer techniques through practical array and string problems.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Data Structures & Performance Analysis​

Master data structures and algorithms in Python to build efficient and optimized solutions.

• OpenLearning
• 10 hours
• Self-Paced
• Paid Course

Ordered Data Structures

925 ratings at Coursera

Learn data structures for ordered sequences — arrays, linked lists, stacks, queues, binary and AVL trees, B-trees, heaps — and analyze their complexity for fast search and sort.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Data Structures: An Active Learning Approach

5 ratings

Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.

• edX
• 10 weeks, 6-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Algorithms for Searching, Sorting, and Indexing

544 ratings at Coursera

This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters.

• Coursera
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

Introduction to Algorithms (SMA 5503)

3 ratings

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice.

• MIT OpenCourseWare
• 30 hours
• Self-Paced
• Free Video

Discrete Math for Computer Science - Algorithms & Recursion

Learn modular arithmetic, GCDs and the Euclidean algorithm, then use asymptotic notation, induction and recurrence relations to design and prove recursive algorithms and public-key encryption.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

NPTEL;  IIT Bombay

Design & Analysis of Algorithms

2 ratings

Learn to design fast algorithms through divide-and-conquer, greedy, dynamic programming, pattern matching, and approximation techniques.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video

Introduction to Algorithms

2 ratings

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.

• MIT OpenCourseWare
• 42 hours
• Self-Paced
• Free Video

Neso Academy

Design and Analysis of Algorithms

1 rating

Master algorithmic principles, asymptotic analysis, and complexity evaluation through comprehensive coverage of Big O notation, recursive algorithms, and problem-solving techniques.

• YouTube
• 20 hours 25 minutes
• Self-Paced
• Free Video

Data Structure - Part I

1349 ratings at Udemy

Design, implementation and analysis of basic data structures using Java language.

• Udemy
• 5 hours 37 minutes
• Self-Paced
• Free Online Course

Algorithmic Design and Techniques

3 ratings

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

• edX
• 6 weeks, 8-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Codio

C++: Algorithms

16 ratings at Coursera

Analyze time and space complexity, apply algorithm design techniques, and implement searching and sorting algorithms in runnable C++ code exercises.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course