Data structures and algorithms are the foundation of every coding interview. This personalized study plan takes you from basics to confidently solving medium-hard problems.
Last updated: March 2026 · 3 Months plan
Here's what your week-by-week learning journey looks like
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Every major tech company — Google, Meta, Amazon, Apple, Microsoft — tests data structures and algorithms in interviews. Even startups increasingly use LeetCode-style questions. DSA knowledge demonstrates problem-solving ability and computer science fundamentals. While some debate their practical relevance, they remain the primary filter for software engineering jobs. Mastering DSA opens doors to $100,000-$300,000+ roles at top companies.
Week 1-2: Arrays and strings — two pointers, sliding window, prefix sums. Week 3-4: Hash maps and sets — frequency counting, anagram problems, two-sum patterns. Week 5-6: Linked lists and stacks/queues — reversal, cycle detection, monotonic stack. Week 7-8: Trees and graphs — BFS, DFS, binary search trees, traversals. Week 9-10: Dynamic programming — memoization, tabulation, common patterns (knapsack, LCS, coin change). Week 11-12: Advanced — heaps, tries, union-find, topological sort, and mock interviews. Practice 150-200 problems total, focusing on patterns rather than memorizing solutions.
Grinding 500 LeetCode problems randomly is inefficient. Instead, learn the 15-20 core patterns (two pointers, sliding window, BFS/DFS, DP patterns) and practice 8-10 problems per pattern. This approach lets you recognize patterns in new problems rather than relying on memorization. Free Class AI identifies which patterns you're weakest in and prioritizes them in your study plan.
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