Learning Data Structures and Algorithms (DSA) is a fundamental step towards becoming a Excellent programmer.

To get started You can follow my schedule.

Understand the Basics

Introduction to Data Structures:

1. Arrays
2. Linked Lists
3. Stacks
4. Queues
5. Trees
6. Graphs
7. Hash Tables

Introduction to Algorithms:

1. Sorting Algorithms (e.g., Bubble Sort, Quick Sort, Merge Sort)
2. Searching Algorithms (e.g., Linear Search, Binary Search)
3. Recursion
4. Dynamic Programming

Choosing the Right Resources

Books:

1. "Introduction to Algorithms" by Cormen, Leiserson, Rivest, and Stein (CLRS)
2. "Data Structures and Algorithms Made Easy" by Narasimha Karumanchi
3. "The Algorithm Design Manual" by Steven S. Skiena

Online Courses:

1. Coursera: Data Structures and Algorithm Specialization by UC San Diego & National Research University Higher School of Economics
2. edX: Algorithms and Data Structures MicroMasters by University of California, San Diego
3. Udacity: Data Structures and Algorithms Nanodegree
4. YouTube Channels: MIT OpenCourseWare, MyCodeSchool, GeeksforGeeks

Interactive Platforms:

1. LeetCode
2. HackerRank
3. CodeSignal
4. GeeksforGeeks
5. Stack Overflow
6. Reddit’s
7. r/learnprogramming

Practice Regularly

• Solve a variety of problems on platforms like LeetCode, HackerRank, and Codeforces.
• Start with easy problems and gradually move to medium and hard problems.

Competitions:

Participate in coding competitions and challenges to improve your problem-solving skills.

Build Projects

Real-World Applications:

Apply what you’ve learned by building projects that solve real-world problems.

Review

Revisit Concepts: