🚀 NeetCode 150 – Priority-Based Study Roadmap
This roadmap is structured priority-wise, optimizing for FAANG interviews. It assumes 2-3 hours of practice per day and categorizes topics into high-priority, mid-priority, and low-priority based on interview frequency and learning dependencies.
📌 Week 1-2: High Priority (50 Questions)
Goal: Build a solid foundation in frequently tested core concepts.
Time Allocation: 2 weeks (~4 questions/day)
| Category | # Questions | Why? |
|---|---|---|
| Arrays | 18 | Most common in FAANG, easy to medium problems help build intuition. |
| Strings | 14 | Common in system design, pattern matching, and brute-force optimizations. |
| Linked List | 10 | Helps in recursion, pointers, and memory-efficient solutions. |
| Binary Search | 8 | Essential for optimization problems, used in many advanced topics. |
🔹 Topics Covered:
✅ Sliding Window, Two Pointers, Hashing, Prefix Sum, Fast & Slow Pointers
✅ Binary Search Fundamentals & Variations
📌 Week 3-4: Mid Priority (50 Questions)
Goal: Cover tree-based and structured problem-solving approaches.
Time Allocation: 2 weeks (~4-5 questions/day)
| Category | # Questions | Why? |
|---|---|---|
| Binary Trees | 15 | Used in DFS, BFS, recursion-heavy problems. |
| Heap (Priority Queue) | 8 | Essential for scheduling, top K problems. |
| Stacks & Queues | 12 | Key for monotonic stacks, LRU cache, and parsing problems. |
| Intervals | 7 | Required for meeting room problems, range queries, and merge-based questions. |
| Bit Manipulation | 5 | Low-level optimization, used in XOR, bitwise shifts. |
🔹 Topics Covered:
✅ DFS, BFS, Recursion, Monotonic Stack, Heap Sorting, Intervals, Bitwise Tricks
📌 Week 5-6: High Complexity Topics (50 Questions)
Goal: Learn Graphs, DP, and Advanced Backtracking, crucial for FAANG hard questions.
Time Allocation: 2 weeks (~4-5 questions/day)
| Category | # Questions | Why? |
|---|---|---|
| Graphs | 17 | Common in Google, Meta, Amazon interviews. Requires BFS, DFS, Dijkstra. |
| Dynamic Programming (DP) | 22 | Most feared topic, but critical for FAANG interviews. |
| Tries | 5 | Used in word-based problems and efficient searching. |
| Backtracking | 12 | Needed for solving constraint-based problems, recursion-heavy. |
🔹 Topics Covered:
✅ Graph Traversals, Union-Find, Topological Sort, DP Memoization & Tabulation, Tries & Recursion
📌 Week 7: Final Revision & Mock Interviews (Bonus Week)
Goal: Solve 30-40 past FAANG questions, time-boxed under 45 minutes per problem.
🔹 What to Do:
✅ Daily 2 mock interviews (LeetCode/NeetCode platform, InterviewBit, Pramp, or with peers).
✅ Timed problem-solving sessions (90 mins daily).
✅ Identify weak areas & revisit concepts.
✅ Read discussion forums for alternate solutions.
⏳ Total Time to Completion
If you stick to 2-3 hours/day:
⏳ 7 weeks (~50 days) 🚀
Faster Completion?
- 4-6 hours/day → Complete in 4 weeks
- 8-10 hours/day (Intensive) → Complete in 3 weeks