Data Structures 30-Day Study Roadmap

Advanced Data Structures 30-Day Study Roadmap

Week 1: Fundamentals and Review

Day 1: Refresh your knowledge on basic data structures - arrays, linked lists, stacks, and queues.

Day 2-4: In-depth review of time and space complexity, Big-O notation, and algorithm analysis.

Day 5-7: Implement basic data structures in a programming language of your choice.

Week 2: Trees and Graphs

Day 8-10: Explore advanced tree structures - AVL Trees, Red-Black Trees, and B-trees.

Day 11-13: Dive into graph algorithms - DFS, BFS, Dijkstra's, and Bellman-Ford.

Day 14-16: Implement graph algorithms and tree structures in real-world scenarios.

Week 3: Advanced Topics

Day 17-19: Study advanced hashing techniques and data structures like Bloom Filters and Count-Min Sketch.

Day 20-22: Learn trie-based structures and their applications - Ternary Tries, Patricia Tries.

Day 23-25: Explore advanced heap structures - Fibonacci Heap, Binomial Heap, and Pairing Heap.

Week 4: Specialized Data Structures and Practice

Day 26-28: Understand specialized structures like Union-Find (Disjoint Set) and Rope Data Structure.

Day 29-30: Solve challenging problems on platforms like LeetCode, HackerRank, and GeeksforGeeks.

Additional Resources

Supplement your learning with textbooks like "Introduction to Algorithms" by Cormen, Leiserson, Rivest, and Stein (CLRS).

Watch video lectures and tutorials on platforms like Coursera and Udemy.

Engage in coding challenges and discussions on forums such as Stack Overflow.

Remember to practice consistently, work on projects, and seek real-world applications for a deeper understanding.