8 Weeks Study Plan to prepare Data Structures and Algorithm Interview

Here’s a breakdown of the study schedule for data structures and algorithm topics with a daily allocation of 2 hours for each week over an 8-week period:

1. Week 1:
   - Arrays and Strings (3 days)
   - Linked Lists (2 days)
   - Stack and Queue (2 days)
2. Week 2:
   - Trees and Binary Search Trees (3 days)
   - Heaps (2 days)
   - Graphs (3 days)
3. Week 3:
   - Hash Tables (2 days)
   - Sorting Algorithms (3 days)
   - Searching Algorithms (2 days)
   - Recursion (1 day)
4. Week 4:
   - Dynamic Programming (4 days)
   - Advanced Data Structures (3 days)
   - Practice Problems (1 day)
5. Week 5:
   - Array and String Manipulation Problems (3 days)
   - Linked List Problems (2 days)
   - Stack and Queue Problems (2 days)
   - Tree and Binary Search Tree Problems (3 days)
6. Week 6:
   - Heap and Priority Queue Problems (2 days)
   - Graph Problems (3 days)
   - Hash Table Problems (2 days)
   - Sorting and Searching Problems (2 days)
   - Recursion Problems (1 day)
7. Week 7:
   - Dynamic Programming Problems (4 days)
   - Advanced Data Structure Problems (2 days)
   - Practice Problems (2 days)
8. Week 8:
   - Review and Reinforce Weak Areas (4 days)
   - Mock Interviews and Coding Challenges (3 days)
   - Final Practice and Problem Solving (1 day)

This study schedule provides a comprehensive coverage of data structure and algorithm topics over an 8-week period. Adjust the schedule based on your own pace and priorities, allocating 2 hours each day for focused study. Remember to take breaks, stay consistent, and practice problem-solving regularly.

Good luck with your studies!