Learn Data Structures and Algorithms [2026] Most Recommended Tutorials

Learn Data Structures and Algorithms from the best Data Structures and Algorithms tutorials/courses online.

53 Tutorials Learn Data Structures and Algorithms online from the best tutorials and courses recommended by the programming community.

Learn Data Structures and Algorithms online from the best tutorials and courses recommended by the programming community.

Prim's Algorithm: Quick Guide with Examples

This free guide, Prim's Algorithm: Quick Guide with Examples, an accessible introduction to one of graph theory’s most important optimization techniques. It covers the fundamentals of graphs, weights, spanning trees, and minimum spanning trees, and then demonstrates how the algorithm incrementally builds a network by always selecting the lowest-cost edge that expands the tree.

625 views hackr.io

The Quick Guide to Dijkstra's Algorithm

The Quick Guide to Dijkstra’s Algorithm explains one of the most widely used algorithms in computer science for finding the shortest path in a graph. The guide covers how Dijkstra’s Algorithm systematically selects the least costly path from a starting point to all other nodes, making it essential for navigation, logistics, networking, and more. Readers are introduced to key concepts like graphs, weights, and priority queues, and then shown how the algorithm works step by step with practical examples.

2.6k+ views hackr.io

Practical Math for Frontend Developers

Practical Math for Frontend Developers is a 65-minute intermediate-level course that teaches essential math skills through hands-on coding. Instead of abstract formulas, students immediately apply concepts by building three projects: a shopping cart with tax calculations, a weekly scheduling app using the Date object and array methods, and a monthly expense sheet that ties everything together. With interactive challenges built into the course, learners practice applying math directly in the context of frontend development.

1.1k+ views scrimba.com

Free Resources Certification

Coding Ninjas Java DSA Course Repository

Coding Ninjas Java DSA Course Repository is a well-organized collection of code implementations, solutions, and exercises from the Coding Ninjas Data Structures and Algorithms in Java course. It includes practical examples and real-world applications, giving learners both theory and hands-on practice. The repository is designed as a go-to resource for anyone looking to strengthen their Java and problem-solving skills while mastering the fundamentals of data structures and algorithms.

7.2k+ views github.com

Paid Video Beginner Resources Advanced Exercises/Practice-programs Certification Java Data Structures and Algorithms

Fundamentals of Algorithms

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

46.9k+ views geeksforgeeks.org

Paid Video Beginner Resources Advanced Exercises/Practice-programs Certification Python Data Structures and Algorithms

Algorithms by Princeton University

Algorithms, Part I from Princeton University. This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java ...

24.2k+ views coursera.org

Data Structures - Geeks for Geeks

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

37.9k+ views geeksforgeeks.org

Introduction to Algorithms - MIT OpenCourseWare

MIT OCW 6.006: Introduction to Algorithms (Fall 2011) is a foundational undergraduate course taught by Professors Erik Demaine and Srini Devadas at MIT. The course introduces mathematical modeling of computational problems and core algorithmic paradigms and data structures. It emphasizes both theory and implementation, covering performance analysis and real-world programming considerations.

22.7k+ views ocw.mit.edu

You might also be interested in