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184 Best + Free Data Structures and Algorithms Courses & Certificates [2026]

184 courses compared 111 over 10 hours long Updated October 5, 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

CourseDuck compares the 184 Data Structures and Algorithms courses listed here from 8 providers, 58 of them free, and ranks them from the 449,000 ratings and reviews their students have left, with the price, length and level of each one side by side. No course pays to be listed or ranked. As featured on Harvard EDU, Stackify and Inc. How we rank

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.
Data structures are used to hold data while algorithms are used to solve the problem using that data. Data structures and algorithms (DSA) goes through solutions to standard problems in detail and gives you an insight into how efficient it is to use each one of them.
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.

Yes and No. Certified Data Structures and Algorithms developers on average make more money. Having a Data Structures and Algorithms certificate greatly increases the chance of landing an interview and can open otherwise closed doors. Coursera, Udacity and EdX offer excellent certificate options for impressing your future employers. Eduonix, Udemy and several other providers offer certificates, but they aren't as reputable. If you have a Computer Science Degree, certificates are not as important. Still, many employers won't care about certificates, but rather your interview skills, experience and/or skills assessment.

Provider

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184 Filtered Courses
Mastering Data Structures & Algorithms using C and C++
provider

1

Mastering Data Structures & Algorithms using C and C++ (2025)

4.6

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.

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Pros
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Cons
    • 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
Master the Coding Interview: Data Structures + Algorithms
provider

2

Master the Coding Interview: Data Structures + Algorithms (2026)

4.6

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.

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Pros
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Cons
    • 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.
JavaScript Algorithms and Data Structures Masterclass
provider

3

JavaScript Algorithms and Data Structures Masterclass (2026)

4.7

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.

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Pros
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Cons
    • 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
Data Structures and Algorithms:  Deep Dive Using Java
provider

4

Data Structures and Algorithms: Deep Dive Using Java (2025)

4.5

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.

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Pros
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Cons
    • 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.
Introduction to Algorithms and Data structures in C++
provider

5

Introduction to Algorithms and Data structures in C++ (2018)

4.4

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.

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Pros
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Cons
    • 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
Python Data Structures & Algorithms + LEETCODE Exercises
provider

6

Python Data Structures & Algorithms + LEETCODE Exercises (2026)

4.7

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.

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Pros
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Cons
    • 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
Data Structures & Algorithms: Coding Interview Masterclass
provider

7

Data Structures & Algorithms: Coding Interview Masterclass (2026)

4.8
Master Arrays, Linked Lists, Trees, Graphs, Sorting Algorithms & Big O | Ace Coding Interviews at Top Companies

iconWhat 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
Java Data Structures & Algorithms + LEETCODE Exercises
provider

8

Java Data Structures & Algorithms + LEETCODE Exercises (2026)

4.6

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.

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Pros
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Cons
    • 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
Python for Data Structures, Algorithms, and Interviews!
provider

9

Python for Data Structures, Algorithms, and Interviews! (2022)

4.5
Get a kick start on your career and ace your coding interviews!

iconWhat 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
The Complete Data Structures and Algorithms Course in Python
provider

10

The Complete Data Structures and Algorithms Course in Python (2025)

4.5
100+ DSA Interview Questions for Cracking FAANG with Animated Examples for Deeper Understanding and Faster Learning

iconWhat 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
Algorithms and Data Structures Capstone
provider

11

Algorithms and Data Structures Capstone

0.0
Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge.

iconQuality Score

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Overall Score : 99 / 100

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