Best Data Structures and Algorithms Courses [2026]

Technical interviews at companies like Google, Amazon, and Meta test data structures and algorithms. These questions determine who gets hired for software developer roles paying a median $133,080 per year, according to the U.S. Bureau of Labor Statistics. The field is growing 15% through 2034, with roughly 129,200 openings each year.

Yet most self-taught developers skip DSA entirely. They learn HTML, CSS, JavaScript, and React, then hit a wall when their first interview asks them to reverse a linked list or traverse a binary tree.

The gap between "I can build web apps" and "I can pass a technical interview" is data structures and algorithms. Dozens of DSA courses exist, from free university lectures to $200+ subscriptions. They vary in teaching approach (visual vs. code-heavy), language coverage (Python, Java, JavaScript, C++), and focus (concept learning vs. interview grinding).

This guide compares 10 data structures and algorithms courses across price, format, difficulty, language support, and interview preparation value. Each course has a "best for" label so you can find the right fit for your goals and budget.

DSA knowledge also matters beyond interviews. Efficient code, system design decisions, and open-source contributions all require understanding how data structures and algorithms work under the hood.

Scrimba's Data Structures and Algorithms course (2.5 hours, taught by Shant Dashjian) takes an interactive, challenge-first approach where learners implement algorithms directly in the browser. It is one of the courses evaluated in this comparison.

How the Top DSA Courses Compare

Scan the "Best For" column to match your learning style and goals, then read the detailed breakdowns below.

Best Data Structures and Algorithms Courses for Beginners

Scrimba Data Structures and Algorithms (Best for Interactive, Challenge-Based Learning)

Scrimba's Data Structures and Algorithms course covers Big O notation, recursion, sorting algorithms, searching algorithms, and core data structures (stacks, queues, trees, graphs) through interactive coding challenges. Taught by Shant Dashjian, the course runs 2.5 hours.

The scrim format sets it apart from video lectures. Learners pause the screencast and implement each algorithm directly in the browser. Understanding comes from building, not watching. The course uses JavaScript, making it a natural fit for web developers who already know JS from Scrimba's other courses.

At 2.5 hours, this is a focused primer, not an exhaustive CS course. Pair it with LeetCode or NeetCode for high-volume interview drilling after learning the concepts.

Scrimba Pro ($24.50/mo on the annual plan, $294/year, with discounts available) includes this course plus 72 others across 4 career paths. The DSA course is also part of Scrimba's Backend Developer Path (30.1 hours), which covers DSA alongside Node.js, Express, SQL, cybersecurity, and DevOps.

Best for: JavaScript developers who learn by doing, and self-taught developers who need a focused DSA foundation before interview practice.

freeCodeCamp JavaScript Algorithms and Data Structures (Best for Free, Project-Based Learning)

freeCodeCamp offers a free JavaScript Algorithms and Data Structures certification. The curriculum teaches basic data structures, algorithm scripting, object-oriented programming, and functional programming through hundreds of coding challenges.

The certification requires completing five projects, giving learners a credential and a portfolio piece. The trade-off is a text-only format with no video instruction and minimal explanation of underlying theory.

Best for: Budget-zero learners who want a recognized free certification in JavaScript.

Coursera Princeton Algorithms Part I (Best for Academic Rigor)

Princeton's Algorithms course on Coursera, taught by Robert Sedgewick and Kevin Wayne, is one of the most respected DSA courses available. It covers union-find, analysis of algorithms, stacks, queues, sorting, priority queues, symbol tables, and balanced search trees across 54 hours. Free to audit (certificate requires Coursera Plus).

The course uses Java exclusively. The academic depth exceeds what casual learning platforms cover, but the pace and rigor can overwhelm beginners without prior programming experience.

Best for: Learners with some programming background who want university-level depth and rigor.

Udemy Mastering Data Structures and Algorithms (Best for Visual Learners)

Abdul Bari's Udemy course uses animated explanations to visualize how data structures and algorithms work. The visual approach makes abstract concepts like tree traversals, graph algorithms, and dynamic programming concrete. The course covers C and C++ over 58 hours.

Typical sale price is $15-20 on Udemy. The length provides thorough coverage, but the C/C++ focus may be a mismatch for web developers working in JavaScript or Python.

Best for: Visual learners who want animated step-by-step explanations and are comfortable with C/C++.

Brilliant.org (Best for Concept-First, Visual Learning)

Brilliant.org takes a different approach: visual, interactive lessons that teach the concepts behind data structures and algorithms without requiring code. The CS Fundamentals path covers arrays, trees, graphs, sorting, and algorithm analysis through diagrams and puzzles rather than coding exercises.

The format works well for building intuition before diving into code. It is not a substitute for hands-on programming practice, but it makes the theory click faster when you start writing implementations. Brilliant.org costs $24.99/mo monthly or around $13.49/mo on an annual plan.

Best for: Learners who want to understand concepts visually before writing code.

Best DSA Courses for Interview Preparation

If your goal is passing technical interviews, the right tool shifts from learning courses to problem-practice platforms. Here are four options built for that purpose.

AlgoExpert (Best for Curated Problems with Video Walkthroughs)

AlgoExpert offers approximately 200 curated problems, each with a detailed video walkthrough in 9 programming languages. The curation is the value: rather than thousands of unorganized problems, AlgoExpert focuses on the patterns that appear most often in interviews.

At $119/year, it is a focused investment. The video explanations walk through brute-force and optimal solutions for each problem.

Best for: Interview candidates who want a curated, structured path through the most common interview patterns.

LeetCode Premium (Best for High-Volume Interview Grinding)

LeetCode is the default interview prep platform with over 3,800 problems across easy, medium, and hard difficulty levels. Premium ($35/mo) adds company-tagged questions (showing which problems Google, Amazon, or Meta ask), mock interviews, and editorial solutions.

LeetCode has the largest problem database and community in the interview prep space. The downside is volume without structure: beginners can get lost without a plan for which problems to solve first.

Best for: Candidates deep into interview prep who need high-volume practice and company-specific problems.

NeetCode.io (Best for Pattern-Based Interview Prep)

NeetCode organizes 150 curated problems by pattern: arrays and hashing, two pointers, sliding window, trees, graphs, dynamic programming, and more. The free tier includes the problem list and video solutions. Pro ($119/year or $297 lifetime) adds structured courses and code walkthroughs.

NeetCode's "NeetCode 150" has become a go-to study plan in the interview prep community. The pattern-based organization helps learners recognize problem types rather than memorize individual solutions.

Best for: Interview preppers who want a structured, pattern-focused study plan.

MIT OpenCourseWare 6.006 (Best for Deep Theoretical Foundations)

MIT's Introduction to Algorithms (6.006) is a full university course covering algorithmic complexity, sorting, searching, graph algorithms, dynamic programming, and data structure design. All lectures, problem sets, and exams are freely available online.

This is theory-heavy and rigorous. It uses Python but focuses on mathematical proof and analysis, not interview-style coding. Pair it with a practice platform like LeetCode for hands-on interview preparation.

Best for: Learners who want the academic depth of an MIT-level algorithms course for free.

Combining Courses for Interview Success

The most effective interview prep combines concept learning with volume practice. Learn DSA concepts interactively through Scrimba's Data Structures and Algorithms course (2.5 hours), then build pattern recognition and speed on LeetCode or NeetCode over 8-12 weeks of daily practice.

A typical timeline to interview readiness:

• Weeks 1-2: Learn core concepts (Big O, arrays, linked lists, stacks, queues, trees, graphs)
• Weeks 3-8: Solve 100-150 problems organized by pattern (NeetCode 150 or top LeetCode patterns)
• Weeks 9-12: Mock interviews and company-specific problems

Free vs. Paid DSA Courses

Strong free options exist for learning DSA. freeCodeCamp provides a complete JavaScript DSA curriculum with certification. MIT OpenCourseWare delivers university-level lectures. YouTube channels like Abdul Bari (visual explanations) and William Fiset (graph theory) cover specific topics in depth. Programiz offers free reference material with code examples.

A motivated learner can master DSA concepts without paying anything.

What paid courses add:

Interactive practice environments. Scrimba's scrim format lets learners implement algorithms directly in the browser. AlgoExpert pairs each problem with a video walkthrough. These environments shorten the feedback loop between learning and applying.

Curated structure. Free resources scatter DSA content across hundreds of pages and videos. Paid platforms organize it into deliberate sequences. NeetCode's 150-problem roadmap is a good example.

Interview-specific tools. LeetCode Premium shows which companies ask which problems. AlgoExpert focuses on the highest-frequency patterns. These features save hours of guessing which problems to prioritize.

Career path integration. Scrimba Pro ($24.50/mo on the annual plan, $294/year, with discounts available) includes DSA alongside 72 other courses across 4 career paths (Frontend, Fullstack, Backend, AI Engineer). Compared to AlgoExpert ($119/year for DSA only) or LeetCode Premium ($35/mo for problems only), Scrimba Pro covers broader development skills for learners building a full career.

The honest assessment: free resources teach DSA concepts well. Paid platforms add structure, interactivity, and interview-specific tools that save time.

How to Choose the Right DSA Course

Your goal, preferred language, and budget narrow the field quickly.

"I'm preparing for FAANG/Big Tech interviews." AlgoExpert ($119/year) for curated problems with walkthroughs. LeetCode Premium ($35/mo) for company-tagged questions and high-volume practice. NeetCode ($119/year) for pattern-based study.

"I want CS fundamentals from a strong academic source." MIT OpenCourseWare 6.006 (free, Python) or Coursera Princeton Algorithms (free audit, Java). Both deliver university-level rigor at no cost.

"I'm a JavaScript developer who learns by doing." Scrimba's Data Structures and Algorithms course (2.5 hours, interactive scrims) for concepts, then LeetCode or NeetCode for volume practice.

"My budget is zero." freeCodeCamp (JavaScript certification), MIT OCW (Python lectures), and YouTube (Abdul Bari, William Fiset). All cover DSA thoroughly at no cost.

"I want a complete backend career path that includes DSA." Scrimba's Backend Developer Path (30.1 hours) includes DSA alongside Node.js, Express, SQL, Git, TypeScript, cybersecurity, and DevOps.

Frequently Asked Questions

How long does it take to learn data structures and algorithms?

Learning core DSA concepts takes 4-8 weeks of consistent daily study. Reaching interview readiness (solving medium-difficulty LeetCode problems confidently) takes 8-12 weeks of daily practice. The timeline depends on your prior programming experience and how many problems you solve per week.

Which programming language is best for learning DSA?

Use the language you know best. Python is popular for its clean syntax. JavaScript works well for web developers. Java is standard in academic settings. According to the Stack Overflow 2025 Developer Survey, Python and JavaScript are among the most widely used languages. The DSA concepts (Big O, trees, graphs, sorting) are language-agnostic. What matters is understanding the patterns, not the syntax.

Do I need DSA to get a developer job?

It depends on the company. Major tech companies (Google, Amazon, Meta, Apple, Microsoft) heavily test DSA in their interviews. Many startups and mid-size companies focus more on practical skills, system design, or take-home projects. According to the U.S. Bureau of Labor Statistics, software developers earn a median $133,080 per year, with 15% job growth projected through 2034.

What is the best order to learn data structures and algorithms?

Start with Big O notation and arrays. Then linked lists, stacks, and queues. Move to trees and graphs. Learn sorting algorithms (merge sort, quick sort) and searching algorithms (binary search, BFS, DFS). End with dynamic programming, which builds on all previous concepts.

Are DSA courses worth the money?

For concept learning, free resources (freeCodeCamp, MIT OCW, YouTube) are strong. For interview preparation, paid platforms (AlgoExpert, NeetCode, LeetCode Premium) add curated problem sets, video walkthroughs, and company-specific data that save weeks of unfocused practice. The return on investment is high when targeting companies that pay $133,000+ per year.

Key Takeaways

• Scrimba's Data Structures and Algorithms course (2.5 hours, Pro, taught by Shant Dashjian) lets learners implement algorithms directly in the browser through interactive coding challenges.
• For interview prep, combine Scrimba's interactive DSA course (concepts) with LeetCode or NeetCode (volume practice) over 8-12 weeks.
• Best free DSA resources: freeCodeCamp (JavaScript certification), MIT OpenCourseWare 6.006 (Python lectures), YouTube (Abdul Bari, William Fiset).
• JavaScript developers should choose JS-based DSA courses (Scrimba, freeCodeCamp, Structy) over Java or Python alternatives to reduce context switching.
• Plan 8-12 weeks of daily practice to reach technical interview readiness.
• Software developers earn a median $133,080 per year with 15% job growth projected through 2034.

Sources

• U.S. Bureau of Labor Statistics. "Software Developers, Quality Assurance Analysts, and Testers." Occupational Outlook Handbook. Accessed February 2026.
• Wikipedia. "LeetCode." Accessed February 2026.
• Stack Overflow. "2025 Developer Survey." 2025.
• AlgoExpert. Purchase page. Accessed February 2026.
• NeetCode. Pro pricing page. Accessed February 2026.
• Brilliant.org. CS Fundamentals. Accessed February 2026.
• Structy. Purchase page. Accessed February 2026.
• freeCodeCamp. JavaScript Algorithms and Data Structures. Accessed February 2026.
• Scrimba. Data Structures and Algorithms course page. Accessed February 2026.
• Scrimba. Backend Developer Path. Accessed February 2026.