Is DSA Important and How to Learn DSA

Book Links to buy in India :::
INTRODUCTION TO ALGORITHMS, FOURTH EDITION (Hardcover) 👉 amzn.to/4bkitPF
Data Structures & Algorithms in Java by Lafore (Author)👉 amzn.to/4ccwGzh
Suggested Learning Plan for Learning DSA:
Week 1-2: Introduction and Basics
Learn about arrays, linked lists, and their basic operations.
Understand time and space complexity.
Week 3-4: Stacks and Queues
Implement and practice problems on stacks and queues.
Learn about real-world applications.
Week 5-6: Trees and Graphs
Study binary trees, binary search trees, and graph traversal algorithms.
Practice tree and graph-based problems.
Week 7-8: Sorting and Searching Algorithms
Learn and implement various sorting algorithms (quick sort, merge sort).
Practice binary search and other search algorithms.
Week 9-10: Advanced Data Structures
Dive into heaps, hash tables, and tries.
Implement and solve complex problems using these structures.
Week 11-12: Dynamic Programming and Greedy Algorithms
Understand the principles of dynamic programming and greedy algorithms.
Solve intermediate to advanced problems.
Week 13-14: Final Projects and Review
Work on a comprehensive project that utilizes multiple data structures and algorithms.
Review and revisit challenging concepts and problems.
By following this plan and utilizing the suggested resources, you can build a strong foundation in data structures and algorithms, essential for both academic and professional success in computer science.