UdemyBestsellerData StructuresAll LevelCertificate

Python Data Structures And Algorithms: Visual DSA + LeetCode

Master Python DSA with Step-by-Step Animations, Hands-On Coding, Big O Analysis and LeetCode Interview Practice

55.0(20)(20 reviews)Created by: Javid BodurovJavid BodurovLast updated 11/2026
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Our take

Master Python Data Structures & Algorithms Through Visual LearningData Structures and Algorithms are fundamental to writing efficient code and solving programming problems, but understanding how they work can be difficult when you're only looking at lines of code.This course takes a different approach.You'll learn DSA through custom-built visual animations that show you exactly what's happening behind the scenes, followed by step-by-step Python implementations that bring each concept to life.From understanding how arrays, linked lists, and hash tables work to exploring trees, graphs, and algorithm efficiency, you'll build the knowledge and practical skills to solve programming problems with greater confidence.You'll also put your knowledge to the test through coding exercises, quizzes, and LeetCode challenges.Learn Data Structures & Algorithms By Seeing Them In ActionInstead of jumping straight into complicated code, you'll first see how each data structure and algorithm works.Custom animations break down complex operations into individual steps, making it easier to understand how data is organized, accessed, modified, and processed.You'll then connect those visual explanations to actual Python code, learning how to implement each concept and apply it to practical programming problems.The goal isn't simply to teach you how to reproduce an algorithm. It's to help you understand the logic behind it so you can apply that knowledge to problems you haven't encountered before.What You'll Learn:Big O Notation & Algorithm AnalysisUnderstand time and space complexity, evaluate algorithm performance, and compare different approaches to solving the same problem.Arrays & Linked ListsLearn how arrays and linked lists work, including nodes, pointers, traversal, insertion, deletion, and common ope

Best for: all level learners who want one guided path through Data Structures. Skip it if: You already work professionally in Data Structures and need advanced architecture patterns.

✅ Pros
  • Clear explanations that start from zero
  • Hands-on exercises after every major topic
  • Fresh 11/2026 content and lifetime access
❌ Cons
  • Pace accelerates in the middle sections
  • Limited advanced, production-scale projects
  • Long: budget several weeks to finish

📘 What you will learn

  • Understand Python Data Structures and Algorithms (DSA) through visual animations, clear explanations, and practical examples.
  • Implement arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs using Python.
  • Analyze algorithm efficiency using Big O notation, including time complexity, space complexity, and common performance trade-offs.
  • Understand essential algorithms, including searching, sorting, recursion, tree traversal, BFS, and DFS.
  • Solve LeetCode problems using Python and develop systematic approaches to coding interview challenges.
  • Choose appropriate data structures, compare algorithmic solutions, and explain your reasoning during technical interviews.
  • Strengthen your Python programming skills through hands-on coding exercises, quizzes, and guided problem-solving.
  • Build confidence in algorithmic thinking by connecting visual concepts to real Python implementations.

📑 Course content

14 sections · 180 lectures · 18 hours of video · updated 11/2026

  1. Getting started — 29 lectures · 2.9h
  2. Core foundations — 19 lectures · 1.9h
  3. Building real projects — 28 lectures · 2.8h
  4. Intermediate techniques — 30 lectures · 3h
  5. Deep dive & best practices — 23 lectures · 2.3h
  6. Capstone project — 30 lectures · 3h
  7. Next steps — 21 lectures · 2.1h

🎯 Who it is for

Suits: Complete beginners, career switchers, and self-taught devs who want structure.

Needs: Basic familiarity with Python programming, including variables, loops, functions, and lists, is recommended. No previous knowledge of data structures or algorithms is required. The course introduces DSA concepts step by step. A computer with Python installed is recommended for following coding examples and completing practice exercises.

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👤 Instructor

Javid Bodurov — Hi, I'm Javid Bodurov, a developer, educator, and the founder of VertexClass. I created VertexClass with one goal: to make Data Structures & Algorithms genuinely easy to understand. How do I do this? By animating everything! Every concept in my courses is brought to life with step-by-step animations. You'll watch arrays shift, linked lists rewire, trees grow, heaps reorganize, and graphs get explored, one line of code at a time. When you can see what's happening, hard topics stop feeling abstract. You learn faster, remember longer, and actually enjoy the process. And it's not just visuals. Every animation is paired with clean, tested Python code, so you always know how the idea turns into a working solution. Each section also includes LeetCode-style practice problems solved step by step, a printable cheat sheet, and a quiz, so you can put everything into practice right away and review it anytime (a very important step). By the end, you'll be ready to tackle coding interviews with confidence. Check out the free preview videos to see the difference the animations make. And if you ever get stuck, just ask in the Q&A. I'll be with you every step of the way. See you inside the course!

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❓ FAQ

Is Python Data Structures And Algorithms: Visual DSA + LeetCode suitable for beginners?

Yes — it is rated "All Level" and starts from the fundamentals, though beginners should budget extra time for the practice exercises.

How often is the course updated?

Last updated 11/2026. Lifetime access means future refreshes are included at no extra cost.

Is it worth it?

With a 5★ average from 20 students, our Udemy course reviews put it above most Data Structures alternatives.

Student ratings (20)

5 · 20 ratings on Udemy
⭐ 588%
⭐ 47%
⭐ 33%
⭐ 21%
⭐ 11%

These are the provider's aggregate ratings. The analysis above is written by CourseDepth — we do not publish invented student quotes.

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