184 Best + Free Data Structures and Algorithms Courses & Certificates [2026]
Ranked by Michael Kuhlman, CourseDuck's founder, from student reviews across every provider. How we rank
Our top picks
- Mastering Data Structures & Algorithms using C and C++ [Udemy]
- Master the Coding Interview: Data Structures + Algorithms [Udemy]
- JavaScript Algorithms and Data Structures Masterclass [Udemy]
- Data Structures and Algorithms: Deep Dive Using Java [Udemy]
- Introduction to Algorithms and Data structures in C++ [Udemy]
- Python Data Structures & Algorithms + LEETCODE Exercises [Udemy]
- Data Structures & Algorithms: Coding Interview Masterclass [Udemy]
- Java Data Structures & Algorithms + LEETCODE Exercises [Udemy]
- Python for Data Structures, Algorithms, and Interviews! [Udemy]
- The Complete Data Structures and Algorithms Course in Python [Udemy]
About the best Data Structures and Algorithms courses
Frequently asked questions
- Udemy and Eduonix are best for practical, low cost and high quality Data Structures and Algorithms courses.
- Coursera, Udacity and EdX are the best providers for a Data Structures and Algorithms certificate, as many come from top Ivy League Universities.
- YouTube is best for free Data Structures and Algorithms crash courses.
- PluralSight, SkillShare and LinkedIn are the best monthly subscription platforms if you want to take multiple Data Structures and Algorithms courses.
- Independent Providers for Data Structures and Algorithms courses & certificates are generally hit or miss.
- Average
- $105,909 a year
- Middle half earn
- $55,000 to $147,000 25th to 75th percentile
- Full range
- $21,000 to $186,000
Share of US job postings in each pay band; the dark bar holds the average, the striped bars the 25th and 75th percentiles. Source: ZipRecruiter salary data, gathered when this guide was first published in October 2026.
1
Mastering Data Structures & Algorithms using C and C++ (2025)
A 76 hour whiteboard-first data structures course in C and C++ from a university lecturer, with more than 60,000 reviews backing the slow, thorough teaching.
Best for: Undergraduates and C or C++ developers who want the theory drawn out on a whiteboard before any code appears.


-
- Algorithms are dry-run on a whiteboard before the code, which reviewers say makes recursion and trees click
- Refreshed in June 2025, with 449 lectures covering everything from arrays to AVL trees, heaps and hashing
- Opens with a four hour C and C++ refresher so rusty programmers can get back up to speed
- 4.6 rating from over 60,000 reviews, and fewer than two percent give it one or two stars
-
- No notes or slides, a common complaint from students who want something to revise from
- Code demos mix C and C++, which some reviewers found confusing to follow
- Long, slow and repetitive for some, with no built-in coding exercises or projects
2
Master the Coding Interview: Data Structures + Algorithms (2026)
A 20-hour interview prep bootcamp that pairs JavaScript data structures and algorithms with advice on getting interviews, non-technical rounds and salary negotiation.
Best for: Self-taught JavaScript developers who want interview strategy and computer science basics in one course.


-
- Explanations are plain and unintimidating; reviewers call the course easy to follow and digestible.
- Covers the whole job hunt: getting interviews, non-technical interviews, offers and negotiation.
- Student community and resource pack that one reviewer calls absolutely insane.
- Refreshed in March 2026, with code samples on GitHub in 13 languages.
-
- Taught in JavaScript; non-JS students say the implementation walkthroughs don't transfer well.
- Shallow for experienced developers, and dynamic programming gets only 39 minutes.
- One recent review reports broken challenge links; another dislikes exercises that require a repl.it account.
3
JavaScript Algorithms and Data Structures Masterclass (2026)
Colt Steele's 22-hour JavaScript run through Big O, sorting, linked lists, trees, heaps, graphs and dynamic programming, with 81 coding exercises and a 4.7 from 31,000 reviews.
Best for: Working JavaScript developers who skipped computer science and have a technical interview coming up.


-
- Big O explained slowly with animations; one reviewer says it made the topic far less intimidating
- 81 coding exercises and 87 quizzes, with a chance to try every problem before the solution video
- Goes past the basics into heaps, graphs, Dijkstra and dynamic programming
- Refreshed in January 2026, carries Udemy's Bestseller badge and holds a 4.7 across 31,000 reviews
-
- Few LeetCode-style practice problems; it teaches structures, not interview grinding
- Budget far more than the 22 video hours; one reviewer logged 88 hours to finish
- JavaScript only, so it is less useful if you interview in another language
4
Data Structures and Algorithms: Deep Dive Using Java (2025)
A 16 hour Java course that builds every classic data structure and sort algorithm by hand, from Tim Buchalka's academy, with over 22,000 reviews and a Bestseller badge.
Best for: Java developers who want to build lists, hash tables, trees and heaps themselves and understand what the JDK collections do inside.


-
- Each structure is explained with visuals first, then coded live, and reviewers say the pace is easy to follow.
- Spends real time on what the JDK already provides, so students learn when not to write their own.
- About 87 percent of 22,811 ratings are four or five stars, with under 3 percent at one or two.
- Full source code is included, and one reviewer ported the whole course to C# as an exercise.
-
- No graphs, tries, dynamic programming or greedy algorithms, which two reviewers asked for.
- Sorting takes 27 lectures and over four hours, and one reviewer found some sections ran long.
- Java version and Ubuntu install steps still feel dated to reviewers, despite an April 2025 update.
5
Introduction to Algorithms and Data structures in C++ (2018)
A free, three-hour primer on algorithmic thinking in C++ from a competitive programmer, heavy on binary search and complexity, light on actual data structures.
Best for: Beginners who know basic C++ syntax and want a quick, visual introduction to thinking about algorithm efficiency.


-
- Free, and short enough to finish in a weekend: 39 lectures over about 3 hours
- Visual, drawn-out explanations of binary search and time complexity that reviewers say finally made things click
- Later update added dynamic programming, Fibonacci and the 0/1 knapsack problem
- A couple of quizzes keep it active; students say the small modules are easy to digest
-
- Almost no data structures: trees, graphs, hashing and maps are missing despite the title
- Last updated in 2018 and reviewers report forum questions go unanswered
- Later lectures stop giving worked code and tell students to figure it out alone
6
Python Data Structures & Algorithms + LEETCODE Exercises (2026)
An animation-led Python DSA course that pairs short visual lessons on linked lists, trees, heaps and graphs with 108 coding exercises and some LeetCode practice.
Best for: Visual learners who know basic Python and want DSA explained with animations before tackling interview problems.


-
- Animations make pointers, linked lists and recursive traversal easy to follow, reviewers say
- 108 coding exercises and 115 quizzes let students practice right after each topic
- Short, focused lectures: about 10 hours covers Big O through dynamic programming
- Updated April 2026 and rated 4.7 from 17,425 reviews
-
- Test failures show no input or debug details, and hints only appear after failed runs
- LeetCode sections are thin and easy, with light explanation and a few sloppy solutions
- Teaches each structure separately, with little on choosing one for a harder problem
7
Data Structures & Algorithms: Coding Interview Masterclass (2026)
What You'll Learn
- Understand the coding principles and Understand How to write code in efficient way by help of choosing right data structures and efficient algorithms
- How to choose right data structures and right algorithms for your need
- Understand concept behind data structures like Arrays, Linked Lists, Hash tables, Trees, Graph, Stacks, Queues, and Sort algorithms and Search algorithms
- Understand the fundamentals of the Data structures and Algorithms
- Understand popular algorithms, and how to use it when you need.
- Learn everything you need to crack difficult coding interviews.
- Reason about applicability and usability of Data Structures
8
Java Data Structures & Algorithms + LEETCODE Exercises (2026)
A Java DSA course built on animated walkthroughs and 105 coding exercises, with LeetCode practice strongest on linked lists and hash tables and thin elsewhere.
Best for: Java learners who want to see data structures animated before coding them, with the basics of Java already in hand.


-
- Animated walkthroughs make data structures easy to picture, which reviewers mention again and again
- 105 coding exercises and 112 quizzes let students practice right after each topic
- Short lectures and 11.1 hours total, so the whole course is quick to finish
- Refreshed in April 2026 and still rated 4.6 across 14,771 reviews
-
- LeetCode walkthroughs are concentrated in linked lists and hash tables, with none for graphs or heaps
- Some complex steps are skipped, so a reviewer needed outside help to follow
- Array and string techniques are thin, and basic Java is assumed from the start
9
Python for Data Structures, Algorithms, and Interviews! (2022)
What You'll Learn
- Create a great resume
- Have a LinkedIn and Github profile for recruiters
- Understand all major Data Structures and Algorithms
- Ace coding interviews after preparing with the course's mock interviews
10
The Complete Data Structures and Algorithms Course in Python (2025)
What You'll Learn
- Learn, implement, and use different Data Structures
- Learn, implement and use different Algorithms
- Become a better developer by mastering computer science fundamentals
- Learn everything you need to ace difficult coding interviews
- Cracking the Coding Interview with 100+ questions with explanations
- Time and Space Complexity of Data Structures and Algorithms
- Recursion
- Big O
11
Algorithms and Data Structures Capstone
Quality Score
Overall Score : 99 / 100












