Congratulations on taking the first step toward becoming a real programmer.
This course is designed to take you from the fundamentals to advanced programming concepts through structured learning, practical examples, and hands-on experience.
Whether you're completely new to programming or an experienced developer looking to expand your skills, you'll find everything you need to move forward with confidence.
Understand programming concepts step by step and build a strong technical foundation.
Reinforce your knowledge with examples, exercises, and practical coding challenges.
Turn what you learn into practical programming skills that you can use in real projects.
Explore the complete learning path and see exactly what you'll learn throughout this course.
Follow the roadmap below and progress from the fundamentals to advanced concepts.
Learn the fundamentals of algorithms and data structures, including efficiency analysis, linked lists, stacks, queues, and advanced structures like circular lists. Build a strong foundation for coding, problem-solving, and software development.
Enroll to master algorithms and data structures, improve problem-solving skills, and prepare for coding interviews and real-world software development.
1. What is the difference between a stack and a queue?
2. What is the time complexity of searching for an element in a linked list?
3. Explain the difference between a binary tree and a binary search tree.
4. What is the difference between an array and a linked list?
5. Explain what a hash table is and its primary use.
6. What is the difference between a depth-first search (DFS) and a breadth-first search (BFS)?
7. What is a circular linked list and when is it used?
8. What is the difference between a singly linked list and a doubly linked list?
9. Explain the concept of a priority queue and a typical use case.
10. What is the difference between linear search and binary search?
11. Explain what a graph is and name two common ways to represent it.
12. What is a hash collision and how can it be resolved?
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