Welcome to our comprehensive Data Structures Tutorial! Whether you're a beginner or have some programming experience, this tutorial series will explain key data structures in a way that's easy to understand for all levels. We’ll cover the following data structures using both text-based explanations and video tutorials, so everyone can learn in the format that suits them best.
This learning plan is designed to teach you the key data structures in 12 days. Each day focuses on a single data structure, keeping lessons under 1 hour. The plan is broken down into three sections:
- Introduction to the Data Structure (5 minutes)
- Class Implementation (10 minutes)
- Task/Problem Solving & Interview Practice (10 minutes)
- Home Task (10 minutes)
By following this structure, you'll quickly grasp each concept, implement it, and practice with real-world tasks and interview-style problems.
Day 1: Queue (FIFO - First In, First Out) Lesson
- 0-5 minutes: Check the Home Task.
- 5-10 minutes: Introduction to Queue and its key operations:
enqueue(item),dequeue(),peek(),isEmpty(). - 10-20 minutes: Implement a Queue class from scratch.
- 20-30 minutes: Task - Build a task scheduler using Queue (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video (3m 37s).
- Github
Day 2: Stack (LIFO - Last In, First Out) Lesson
- 0-5 minutes: Check the Home Task from Day 1 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Stack and its key operations:
push(item),pop(),peek(),isEmpty(). - 10-20 minutes: Implement a Stack class from scratch.
- 20-30 minutes: Task - Implement undo functionality using Stack (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video (5m 16s).
- Github
Day 3: Linked List Lesson
- 0-5 minutes: Check the Home Task from Day 2 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Linked List, nodes, and pointers.
- 10-20 minutes: Implement a Singly Linked List class from scratch.
- 20-30 minutes: Task - Build a Playlist Management System using Linked List (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 4: Hash Table Lesson
- 0-5 minutes: Check the Home Task from Day 3 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Hash Table, hash functions, and collision handling.
- 10-20 minutes: Implement a Hash Table class from scratch.
- 20-30 minutes: Task - Implement a simple caching system using Hash Table (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 5: Binary Search Tree (BST) Lesson
- 0-5 minutes: Check the Home Task from Day 4 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to BST and its properties.
- 10-20 minutes: Implement a BST class from scratch.
- 20-30 minutes: Task - Implement a simple search system using BST (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 6: Graph Lesson
- 0-5 minutes: Check the Home Task from Day 5 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Graph, types (directed, undirected), and graph traversal.
- 10-20 minutes: Implement a Graph class from scratch.
- 20-30 minutes: Task - Build a Social Network using Graph (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 7: Priority Queue Lesson
- 0-5 minutes: Check the Home Task from Day 6 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Priority Queue and its operations.
- 10-20 minutes: Implement a Priority Queue class from scratch.
- 20-30 minutes: Task - Build a Task Scheduler using Priority Queue (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 8: Set Lesson
- 0-5 minutes: Check the Home Task from Day 7 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Set and its key operations:
add(value),has(value),delete(value). - 10-20 minutes: Implement a Set class from scratch.
- 20-30 minutes: Task - Remove duplicates from an array using Set (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 9: Trie (Prefix Tree) Lesson
- 0-5 minutes: Check the Home Task from Day 8 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Trie, its structure, and operations.
- 10-20 minutes: Implement a Trie class from scratch.
- 20-30 minutes: Task - Build an Autocomplete system using Trie (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 10: Heap Lesson
- 0-5 minutes: Check the Home Task from Day 9 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Heap, Max Heap and Min Heap.
- 10-20 minutes: Implement a Heap class from scratch.
- 20-30 minutes: Task - Implement a Priority Queue using Heap (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
Day 11: Deque (Double-Ended Queue) Lesson
- 0-5 minutes: Check the Home Task from Day 10 (Review solutions and discuss any issues).
- 5-10 minutes: Introduction to Deque and its operations:
addFront(item),addBack(item),removeFront(),removeBack(). - 10-20 minutes: Implement a Deque class from scratch.
- 20-30 minutes: Task - Solve a sliding window problem using Deque (Interview problem).
- 30-40 minutes: Home Task Task.
- Video Tutorial: Watch the Video.
- Github
- 0-5 minutes: Check the Home Task from Day 11 (Review solutions and discuss any issues).
- 5-10 minutes: Quick review of all data structures covered.
- 10-20 minutes: Implement a real-world project using multiple data structures.
- 20-30 minutes: Solve practice problems (LeetCode, HackerRank, etc.) to test your skills.
- 30-40 minutes: Home Task - Solve a complex problem using any combination of data structures.
- Final Self-Assessment: Evaluate your progress and identify areas for improvement.
In this series, we provide both text-based tutorials and video tutorials to help you understand each data structure in-depth.
Each data structure is explained with a detailed breakdown of its concepts, key methods, and example applications. You’ll also find code examples and practical use cases to help reinforce your understanding.
We also have accompanying video tutorials that walk you through the same content, so you can follow along visually and learn step by step. These videos will be linked throughout the text-based tutorials for easy reference.
Data structures are fundamental to computer science and programming. They allow you to:
- Organize and store data efficiently.
- Optimize performance in algorithms.
- Solve complex problems more easily and effectively.
Understanding how and when to use different data structures is essential for writing efficient, scalable code. Whether you’re building a web app, working on a data analysis project, or preparing for coding interviews, this knowledge will give you a significant edge.
- LinkedIn - Vitalii Semianchuk
- Telegram - @jsmentorfree - We do a lot of free teaching on this channel! Join us to learn and grow in web development.
- Tiktok - @jsmentoring Everyday new videos
- Youtube - @jsmentor-uk Mentor live streams
- Dev.to - fix2015 Javascript featured, live, experience
We hope this tutorial series helps you master the essential data structures in programming. Stay tuned for more tutorials and practical coding examples that will improve your problem-solving skills and prepare you for real-world challenges!
Feel free to reach out if you have any questions, feedback, or suggestions.
Happy coding! 💻
Contributions are welcome! If you have suggestions or want to add new features, feel free to create a pull request.
This project is licensed under the MIT License.