Data Structures & Algorithms

Study sheet

This topic combines data organization methods with step-by-step computational procedures. You will understand how to select appropriate data structures, design efficient algorithms, and analyze their time and space complexity to solve complex programming problems effectively.

15 resources

Level

Language

Type

📹Videos(2)

video👁️ 0

Data Structures and Algorithms in Java

Abdul Bari's full course (top rec in r/algorithms)

beginner🇬🇧

video👁️ 0

Data Structures and Algorithms in JavaScript - Full Course

freeCodeCamp full tutorial

beginner🇬🇧

🎓Courses(4)

course👁️ 0

MIT 6.006 Introduction to Algorithms

Learn algorithm complexity and fundamental data structures with MIT's 6.006 Intro to Algorithms, taught by Demaine & Devadas.

advanced🇬🇧

course👁️ 0

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🇬🇧

course👁️ 0

Algorithms, Part I

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.

beginner🇬🇧

course👁️ 0

Algorithms, Part II

beginner🇬🇧

🌐Websites(8)

scroll for more →

website👁️ 0

takeUforward

Striver's free DSA sheet and problems

beginner🇬🇧

website👁️ 0

NeetCode

DS&A roadmap and videos

beginner🇬🇧

website👁️ 0

GeeksforGeeks

Comprehensive tutorials and problems on data structures.

beginner🇬🇧

website👁️ 0

Visualgo

Interactive algorithm visualizations

beginner🇬🇧

website👁️ 0

visualgo.net

Visualgo.net is an interactive visualization platform for learning data structures and algorithms, offering animated, step-by-step demonstrations of core structures (arrays, lists, stacks, queues, trees, graphs) and algorithms with explanations.

intermediate🇬🇧

website👁️ 0

algoexpert.io

AlgoExpert is an interview-prep platform offering curated algorithm and data-structure problems with detailed written and video explanations, plus a built-in code editor to practice solutions across multiple languages.

intermediate🇬🇧

website👁️ 0

cp-algorithms.com

CP-Algorithms is a comprehensive guide for competitive programming algorithms and data structures, featuring detailed tutorials and ready-to-use C++ implementations across topics such as graphs, dynamic programming, math, strings, and data structures.

intermediate🇬🇧

website👁️ 0

leetcode.com

LeetCode is an online coding platform offering a vast collection of algorithm and data-structure problems, organized by difficulty and topic, with an interactive online judge, contests, and tutorials to help you practice and prepare for interviews.

intermediate🇬🇧

🎙️Podcasts(1)

podcast👁️ 0

Competitive Programming

Podcast for members of the University of Manitoba Competitive Programming club.

beginner🌐

Frequently Asked Questions

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

Dantes has curated 15 resources for Data Structures & Algorithms, including 2 videos, 4 courses, 8 websites, 1 podcasts. 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, 4 courses, 8 websites, 1 podcasts. 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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