DSA Study Plan

Welcome to TheCodingCollege.com! Mastering Data Structures and Algorithms (DSA) is a critical step for any aspiring software developer or competitive programmer. This 60-day study plan provides a structured approach to learning DSA effectively.

Why Follow a Study Plan?

• Consistency: Ensures regular progress.
• Structured Learning: Covers all major topics.
• Efficiency: Focuses on both theory and problem-solving.
• Interview Prep: Tailored to tackle real-world scenarios and coding interviews.

Study Plan Overview

Phase	Days	Topics Covered	Goals
Phase 1: Basics	1–10	Arrays, Strings, Recursion	Build a strong foundation.
Phase 2: Core	11–30	Sorting, Searching, Linked Lists, Stacks, Queues	Learn core DSA topics.
Phase 3: Advanced	31–50	Trees, Graphs, Dynamic Programming, Backtracking	Master advanced concepts.
Phase 4: Practice	51–60	Solve problems from all topics; mock interviews	Apply knowledge and refine skills.

Detailed 60-Day DSA Study Plan

Phase 1: Basics (Days 1–10)

Focus on understanding fundamental concepts of programming and problem-solving.

Day	Topic	Learning Resources	Practice Problems
1	Introduction to DSA	Basics of Time and Space Complexity	Big-O Examples
2–3	Arrays	Array Operations (Insertion, Deletion)	Prefix Sum, Sliding Window Problems
4	Strings	String Manipulations, Pattern Matching	Palindrome Check, Substring Problems
5–6	Recursion	Recurrence Relations, Basic Examples	Fibonacci, Tower of Hanoi
7–10	Problem Solving	Mix of Arrays, Strings, and Recursion	Easy Problems from LeetCode/HackerRank

Phase 2: Core (Days 11–30)

Learn and implement fundamental data structures and algorithms.

Day	Topic	Learning Resources	Practice Problems
11–12	Sorting Algorithms	Bubble, Selection, Insertion Sort	Sorting Problems
13–14	Advanced Sorting	Merge Sort, Quick Sort	Advanced Sorting Problems
15–16	Searching Algorithms	Linear and Binary Search	Applications of Binary Search
17–19	Linked Lists	Singly, Doubly, Circular Linked Lists	Linked List Manipulation
20–22	Stacks and Queues	Stack/Queue Operations, Applications	Parentheses Matching, Scheduling
23–25	Hashing	Hash Tables, Collision Handling	Anagram Detection, Caching Problems
26–30	Problem Solving	Mix of Core Topics	Medium Problems from Codeforces

Phase 3: Advanced (Days 31–50)

Tackle more challenging topics and algorithms.

Day	Topic	Learning Resources	Practice Problems
31–34	Trees	Binary Trees, Binary Search Trees	Tree Traversals, BST Problems
35–37	Graphs	Graph Representation, BFS, DFS	Connected Components
38–40	Dynamic Programming	Memoization vs Tabulation	Fibonacci, Knapsack, LIS
41–43	Backtracking	N-Queens, Sudoku Solver	Permutations, Combinations
44–46	Greedy Algorithms	Activity Selection, Huffman Coding	Fractional Knapsack
47–50	Problem Solving	Mix of Advanced Topics	Hard Problems on LeetCode

Phase 4: Practice (Days 51–60)

Consolidate your knowledge by solving diverse problems and simulating interviews.

Day	Activity	Focus Areas
51–55	Problem Solving	Medium/Hard Problems
56–58	Mock Interviews	Coding Interview Simulations
59	Debugging Session	Analyzing and Fixing Errors
60	Final Revision	Quick Overview of All Topics

Additional Tips

1. Use Visual Tools: For graphs and trees, visualize structures with diagrams.
2. Track Your Progress: Maintain a log of solved problems and review weak areas.
3. Discuss Concepts: Join forums or communities to clarify doubts.
4. Mock Interviews: Simulate real interviews on platforms like Pramp or InterviewBit.

Resources for Learning DSA

1. Platforms: LeetCode, HackerRank, Codeforces, GeeksforGeeks
2. Books: “Introduction to Algorithms” by Cormen, “Cracking the Coding Interview” by Gayle Laakmann McDowell
3. Video Tutorials: YouTube channels like “Abdul Bari” and “freeCodeCamp”