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Welcome to Alg. & Data Structures

Congratulations on taking the first step toward becoming a real programmer.

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Learn. Practice. Build.

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.

Your Path to Becoming a Code Hero

01

Learn

Understand programming concepts step by step and build a strong technical foundation.

02

Practice

Reinforce your knowledge with examples, exercises, and practical coding challenges.

03

Build

Turn what you learn into practical programming skills that you can use in real projects.

user@zero-to-hero:~/course$ start --learning
// Your journey begins now...
✓ Course initialized
✓ Learning path ready
✓ Time to become a Code Hero

Ready to Level Up?

Start the course, keep practicing, and take your programming skills from zero to hero.

Course Syllabus

Explore the complete learning path and see exactly what you'll learn throughout this course.

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What You'll Learn

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.

Course Outline:

1. Introduction to Algorithms

  1. Efficiency of the Algorithm

2. Data Structures

  1. Linked List
  2. Doubly Linked List
  3. Array-Based Stack
  4. Stack
  5. Queue
  6. Deque
  7. Circular Singly Linked List
  8. Circular Doubly Linked List

Why Enroll

Enroll to master algorithms and data structures, improve problem-solving skills, and prepare for coding interviews and real-world software development.

Learn. Practice. Build.

Work through each section, practice what you learn, and keep progressing toward becoming a Code Hero.

Interview Questions

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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