Best Data Structures & Algorithms Courses on Udemy (2026)

Best Data Structures on Udemy 2026

Best Data Structures and Algorithms Courses on Udemy 2026 - Master arrays, linked lists, trees, graphs, sorting, and Big O with Python, Java, C++, and JavaScript. Ideal for coding interviews and software engineering in 2026.

Data structures and algorithms remain the cornerstone of tech interviews and efficient coding in 2026, with courses emphasizing LeetCode-style problems, Big O analysis, and real-world applications attracting massive enrollments. From foundational arrays to advanced graphs and dynamic programming, these courses prepare learners for FAANG-level roles in software engineering and competitive programming. This guide ranks the top 10 DSA courses on Udemy for 2026 by enrollment, ratings, updates, and interview relevance. Whether you’re a beginner building intuition or an advanced coder tackling system design, these courses offer visualizations, coding exercises, and portfolio projects to dominate the DSA revolution.

Top 10 Data Structures Courses

Below, we explore the best data structures and algorithms courses on Udemy, with detailed breakdowns of content, outcomes, and audiences. All include affiliate links to support your journey and our site.

1. Mastering Data Structures & Algorithms using C and C++ by Abdul Bari

This legendary course demystifies DSA with whiteboard explanations, covering arrays, linked lists, stacks, queues, trees, graphs, recursion, and sorting from basics to advanced. Updated for 2026 with more LeetCode problems, it’s perfect for beginners needing crystal-clear intuition and intermediates prepping for C++ roles. Ideal for university students or self-learners aiming for strong analytical skills in low-level languages.

• Enrollment: 400K+
• Rating: ⭐⭐⭐⭐⭐ (4.7/5)
• Duration: 53 hours
• What You’ll Learn: Recursion, sorting (bubble, quick, merge), trees (BST, AVL), graphs (DFS, BFS), dynamic programming basics.
• Target Audience: Beginners to intermediates, C/C++ enthusiasts, coding interview prep.
• Highlights: Whiteboard visuals, line-by-line coding, practical challenges.
• Pros: Exceptional clarity, builds problem-solving confidence.
• Cons: C++ focused, less on high-level languages.

Get Course: Mastering Data Structures & Algorithms using C and C++

2. JavaScript Algorithms and Data Structures Masterclass by Colt Steele

Colt Steele’s masterpiece teaches DSA from scratch in JavaScript, implementing linked lists, trees, heaps, hash tables, graphs, and algorithms like Dijkstra’s. Updated for 2026 with dynamic programming, it’s ideal for web developers acing JS interviews at Google or Meta. Suits beginners with basic JS knowledge seeking interview mastery.

• Enrollment: 300K+
• Rating: ⭐⭐⭐⭐⭐ (4.7/5)
• Duration: 22 hours
• What You’ll Learn: Big O, recursion, sorting (6 types), searching, graphs, DP problems.
• Target Audience: JS developers, front-end/back-end, interview prep.
• Highlights: From-scratch implementations, real interview questions.
• Pros: Engaging teaching, no CS degree needed.
• Cons: JS-specific, less math depth.

Get Course: JavaScript Algorithms and Data Structures Masterclass

3. The Complete Data Structures and Algorithms Course in Python by Elshad Karimov

This bootcamp covers 100+ interview questions with Python implementations of arrays, trees, graphs, and advanced algorithms. 2026 updates include more gen AI-related optimizations. Perfect for Pythonistas targeting FAANG, with visual explanations and LeetCode solves.

• Enrollment: 200K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 40+ hours
• What You’ll Learn: Big O, heaps, hashing, DP, graph algorithms, string problems.
• Target Audience: Python developers, beginners to advanced, tech interviews.
• Highlights: 100+ FAANG questions, visual animations.
• Pros: Comprehensive, interview-focused.
• Cons: Long duration may overwhelm.

Get Course: The Complete Data Structures and Algorithms Course in Python

4. Python Data Structures & Algorithms + LEETCODE Exercises by Scott Barrett

Animated walkthroughs make complex topics like trees and DP intuitive, with 100+ LeetCode exercises. Updated for 2026 with more graph problems, ideal for visual learners prepping Python interviews.

• Enrollment: 150K+
• Rating: ⭐⭐⭐⭐⭐ (4.8/5)
• Duration: 25 hours
• What You’ll Learn: Linked lists, recursion, heaps, graphs, memoization.
• Target Audience: Beginners with Python basics, LeetCode grinders.
• Highlights: HD animations, step-by-step LeetCode solves.
• Pros: Fun and retentive learning.
• Cons: Less theory depth.

Get Course: Python Data Structures & Algorithms + LEETCODE Exercises

5. Master the Coding Interview: Data Structures + Algorithms by Andrei Neagoie

Zero-to-hero bootcamp with multi-language support, end-to-end projects, and career tips. 2026 updates on system design integration. Great for job switchers needing portfolio-ready skills.

• Enrollment: 200K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 43 hours
• What You’ll Learn: Full pipelines, Big O, graphs, DP, mock interviews.
• Target Audience: Beginners to intermediates, career changers.
• Highlights: Job guidance, community access.
• Pros: Practical and motivational.
• Cons: Broad, may feel overwhelming.

Get Course: Master the Coding Interview: Data Structures + Algorithms

6. Java Data Structures & Algorithms + LEETCODE Exercises by Scott Barrett

Java-focused with animations for BSTs, heaps, and graphs. 2026 LeetCode expansions make it perfect for Android/back-end devs.

• Enrollment: 100K+
• Rating: ⭐⭐⭐⭐⭐ (4.8/5)
• Duration: 20 hours
• What You’ll Learn: Java collections, sorting, traversal, DP.
• Target Audience: Java developers, interview prep.
• Highlights: Animated clarity, LeetCode focus.
• Pros: Concise and visual.
• Cons: Assumes Java basics.

Get Course: Java Data Structures & Algorithms + LEETCODE Exercises

7. Data Structures and Algorithms - The Complete Masterclass by Prateek Narang

Deep dive into time/space complexity with C++/Java examples. 2026 updates on competitive programming tricks.

• Enrollment: 100K+
• Rating: ⭐⭐⭐⭐⭐ (4.7/5)
• Duration: 30 hours
• What You’ll Learn: AVL trees, tries, greedy algorithms.
• Target Audience: Competitive programmers, intermediates.
• Highlights: Problem-solving patterns.
• Pros: Advanced topics covered well.
• Cons: Faster pace.

Get Course: Data Structures and Algorithms - The Complete Masterclass

8. C++ Data Structures & Algorithms + LEETCODE Exercises by Scott Barrett

C++ implementations with animations for low-level efficiency. Ideal for systems programming interviews.

• Enrollment: 80K+
• Rating: ⭐⭐⭐⭐⭐ (4.8/5)
• Duration: 25 hours
• What You’ll Learn: Pointers in DSA, graphs, heaps.
• Target Audience: C++ devs, embedded/systems.
• Highlights: Performance focus.
• Pros: Deep C++ insights.
• Cons: Requires C++ familiarity.

Get Course: C++ Data Structures & Algorithms + LEETCODE Exercises

9. Data Structures A-Z: Data Structures + Algorithms Bootcamp by Mosh Hamedani

Practical bootcamp with real-world projects in multiple languages. 2026 ethics and scalability focus.

• Enrollment: 80K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 15 hours
• What You’ll Learn: Hash tables, queues, searching.
• Target Audience: Practical learners.
• Highlights: Project-based.
• Pros: Concise and applicable.
• Cons: Less depth in advanced.

Get Course: Data Structures A-Z: Data Structures + Algorithms Bootcamp

10. Algorithms and Data Structures in Python (INTERVIEW Q&A) by Holczer Balazs

Graph-heavy with interview Q&A, AVL/red-black trees. Great for advanced Python interview prep.

• Enrollment: 50K+
• Rating: ⭐⭐⭐⭐⭐ (4.9/5)
• Duration: 18 hours
• What You’ll Learn: Spanning trees, shortest paths, heaps.
• Target Audience: Python interview candidates.
• Highlights: Scratch implementations.
• Pros: High rating, focused Q&A.
• Cons: Graph emphasis.

Get Course: Algorithms and Data Structures in Python (INTERVIEW Q&A)

Comparison Table

Buying Guide: How to Choose the Best Data Structures Course

Pick based on language: Python for versatility, JavaScript for web, C++ for performance. Beginners start with Abdul Bari or Colt Steele for intuition. Prioritize 2026 updates on LeetCode and Big O. Seek animations (Barrett) or whiteboards (Bari). Shorter for quick prep, longer for depth. Udemy sales hit $10-20 with lifetime access/certificates. Practice on LeetCode/HackerRank. Align with goals like interviews ($150K+ roles) or competitive programming.

FAQs

What is the best data structures course for beginners on Udemy in 2026?

Abdul Bari’s C/C++ course for unmatched clarity, or Colt Steele’s JS for modern web devs.

How much do Udemy DSA courses cost?

$10-20 on sales, lifetime access. Regular $100-200, promotions frequent.

Do Udemy DSA courses provide certificates?

Yes, completion certs for LinkedIn/resumes in tech applications.

How long to complete a Udemy DSA course?

10-50 hours, 2-8 weeks at 5-10 hours/week.

Are there free DSA courses on Udemy?

Previews yes, full paid. Supplement with YouTube (Abdul Bari) or freeCodeCamp.

What skills lead to jobs?

Big O, graphs, DP—key for software engineer roles ($120K+ avg).

Can I learn DSA without strong math?

Yes, start with practical courses like Barrett’s animations.

Conclusion

Abdul Bari’s Mastering Data Structures & Algorithms using C and C++ reigns supreme for its timeless clarity and depth in 2026. Enroll now to conquer interviews and build efficient code in the ever-evolving tech landscape!