My Study Plan

Week 1: Data Structures and Algorithms

• Days 1-2: Review basic data structures (arrays, linked lists, stacks, queues).
• Days 3-4: Learn sorting algorithms (quick sort, merge sort).
• Days 5-6: Study searching algorithms (binary search).
• Day 7: Practice with LeetCode problems related to the topics covered so far.

Week 2: More Data Structures and Algorithms

• Days 8-10: Explore trees and binary trees.
• Days 11-13: Dive into hash tables and heaps.
• Day 14: Practice with LeetCode problems related to trees and hash tables.

Week 3: Advanced Algorithms and Problem Solving

• Days 15-17: Focus on dynamic programming.
• Days 18-20: Study graph algorithms (BFS, DFS).
• Day 21: Practice with LeetCode problems related to dynamic programming and graphs.

Week 4: Object-Oriented Programming and System Design

• Days 22-24: Review OOP principles, classes, and objects.
• Days 25-27: Study system design basics.
• Day 28: Practice designing a simple system or API.

Week 5: Databases, Operating Systems, and Coding

• Days 29-31: Learn SQL queries and basic database management.
• Days 32-34: Explore operating systems concepts.
• Days 35-37: Focus on writing clean and efficient code.
• Day 38: Practice with LeetCode problems that involve databases and operating systems.

Week 6: Time and Space Complexity Analysis, System Architecture

• Days 39-41: Deep dive into time and space complexity analysis (Big O notation).
• Days 42-44: Study distributed systems and microservices architecture.
• Day 45: Practice analyzing algorithms for efficiency and discuss system architecture.

Week 7: Git and Version Control

• Days 46-49: Learn Git and GitHub.
• Day 50: Set up a personal repository and commit code.
• Day 51: Review and practice Git commands.

Week 8: Final Review and Mock Interviews

• Days 52-55: Review all topics covered.
• Days 56-57: Take practice coding challenges and LeetCode problems.
• Days 58-59: Conduct mock interviews with friends or online platforms.
• Day 60: Rest and relax before your interview.