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 implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.

intermediate🇬🇧

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Introduction to Algorithms (6.006)

Learn fundamental algorithms and data structures with MIT's 6.006 course, taught by Demaine and Devadas. Explore efficient problem-solving techniques!

advanced🇬🇧

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Algorithms, Part I

intermediate🇬🇧

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Algorithms Part I

beginner🇬🇧

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Data Structures

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!

beginner🇬🇧

🌐Websites(9)

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CP-Algo

Free competitive programming algorithms reference

beginner🇬🇧

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takeUforward

Striver's free DSA sheet and problems

beginner🇬🇧

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Visualgo

Interactive visualizations of algorithms

beginner🇬🇧

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GeeksforGeeks

Free DSA tutorials, articles, and practice

beginner🇬🇧

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LeetCode

Free DSA practice problems and patterns

beginner🇬🇧

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NeetCode

Curated DSA problems with video solutions, free roadmap

beginner🇬🇧

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algoexpert.io

AlgoExpert is an online platform for learning data structures and algorithms, offering a curated set of coding problems with video explanations, detailed write-ups, and an in-browser IDE to practice and prepare for technical interviews.

intermediate🇬🇧

website👁️ 0

visualgo.net

Visualgo.net is an interactive learning tool that animates data structures and algorithms to help you understand how they work. It offers visualizations of arrays, linked lists, stacks, queues, trees (BST/AVL/Red-Black), heaps, graphs, as well as sorting and graph algorithms, with step-by-step explanations and controls to pause, replay, and adjust speed.

intermediate🇬🇧

website👁️ 0

cp-algorithms.com

CP-Algo is a comprehensive reference for competitive programming algorithms and data structures, offering clear explanations, complexity analyses, and practical code implementations (primarily in C++) across topics from basic data structures to advanced graph theory, number theory, and geometry.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Data Structures & Algorithms?

Dantes has curated 11 resources for Data Structures & Algorithms, including 2 videos, 3 courses, 6 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Data Structures & Algorithms hard to learn?

Data Structures & Algorithms is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Data Structures & Algorithms learning resources are available on Dantes?

For Data Structures & Algorithms, Dantes has curated 2 videos, 3 courses, 6 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Data Structures & Algorithms resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Data Structures & Algorithms, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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