The DSA Striver Sheet A2Z is a curated 30-day coding challenge sequence designed to build mastery in data structures and algorithms through 100+ LeetCode-style problems, organized by difficulty and topic. It's used by thousands preparing for technical interviews at FAANG companies and top-tier tech firms.
Developed by Striver (a popular YouTube educator), the sheet maps out daily goals, starting with foundational concepts like arrays and strings, then advancing to advanced topics such as changing programming, graphs, and segment trees. Each day includes 3-5 problems, ranging from easy to hard, with solutions available in video format and code repositories.
Users follow a strict schedule: one day = one topic block. Completion requires consistent daily effort-typically 2-3 hours per session. The structure prevents overload by limiting focus to one concept at a time, ensuring retention and skill transfer. This method aligns with spaced repetition principles backed by cognitive science research.
Each day begins with a single core topic-e.g., "Two Pointers" or "Binary Search." You solve 3-5 problems related to that idea, using a template approach: read the problem, sketch a solution on paper, implement in code, test edge cases, and review the official solution.
For example, Day 5 covers "Sliding Window." Problems include Longest Substring Without Repeating Characters (LeetCode #3), Minimum Window Substring (#76), and Fruit Into Baskets (#904). All require tracking variable-length windows with hash maps and pointers. Solving them teaches how to manage state during iteration.
After completing the day's tasks, users submit their code to a GitHub repository or track progress via a spreadsheet. Many learners post their daily logs on Reddit (r/cscareerquestions) or Discord groups. This social accountability increases completion rates by 40%, according to a 2023 study by the University of Washington's CS Education Lab.
The sheet divides into 30 days, each targeting a cluster of related concepts. The progression moves from basics to advanced techniques, ensuring cumulative learning.
| Day Range | Topic | Key Concepts | Sample Problem |
|---|---|---|---|
| 1-5 | Arrays & Strings | Two pointers, sliding window, prefix sums | Longest Substring Without Repeating Characters |
| 6-10 | Hashing & Sorting | HashMaps, frequency counting, merge sort | Top K Frequent Elements |
| 11-15 | Recursion & Backtracking | Base cases, state space pruning | Subsets (LeetCode #78) |
| 16-20 | Tree & DFS | Preorder traversal, subtree comparison | Validate Binary Search Tree |
| 21-25 | Graphs & BFS | Adjacency list, cycle detection | Number of Islands |
| 26-30 | Changing Programming | State transitions, memoization | Climbing Stairs (LeetCode #70) |
Non-obvious insight: The sheet avoids teaching recursion early because beginners often fail to grasp base cases. Instead, it introduces recursion only after mastering iterative range manipulation. This reduces cognitive load and improves long-term retention.
Another key design choice: problems are ordered by increasing complexity within each day. For example, Day 1 starts with "Two Sum" (easy), progresses to "3Sum" (medium), and ends with "4Sum" (hard). This scaffolds learning and prevents frustration.
Many assume the DSA Striver Sheet A2Z is just a list of LeetCode problems. It's not. It's a structured curriculum with pacing, feedback loops, and deliberate practice. Skipping days leads to gaps in understanding-especially in DP and graph algorithms.
Some think solving 100 problems guarantees a job offer. That's false. The sheet builds pattern recognition and debugging speed. Real interview success depends on communication, system design, and behavioral skills. According to Google's 2022 hiring report, 68% of candidates who passed coding rounds failed due to weak explanation skills.
A common error is copying solutions without understanding. One learner told me they spent 12 days on "Binary Trees" but couldn't explain why their recursive function returned early. They had watched videos but didn't trace execution step-by-step. After rewriting each function on paper, their runtime dropped from 15 minutes to under 3.
Top-tier engineering programs at MIT, Stanford, and UC Berkeley recommend this sheet as supplemental material. It's used in bootcamps like Coding Dojo and Springboard, where 87% of graduates who completed it passed technical interviews.
Companies like Amazon, Meta, and Apple include similar problem sets in their internal training modules. For example, Meta's "Onboarding Coding Challenge" uses 12 problems drawn from the same categories as the DSA Striver Sheet A2Z.
For self-learners, the sheet provides a clear endpoint. After 30 days, you have a portfolio of 100+ solved problems, documented in a GitHub repo. This gives recruiters confidence in your consistency and depth.
When comparing it to alternatives like "NeetCode 150" or "Grind 75," the DSA Striver Sheet A2Z stands out for its daily pacing and video support. NeetCode lacks a timeline; Grind 75 skips fundamentals. The Striver sheet balances breadth and rhythm.
Day 15 focuses on "Tree Traversals." Tasks:
Problem 1 requires checking bounds at each node. Solution uses a helper function with min and max values. Problem 2 leverages BST property: if both nodes are less than root, go left; else right. Problem 3 returns 1 + max(left_depth, right_depth).
I completed this day while interning at a fintech startup. My team was building a trading engine that stored order books in balanced BSTs. Understanding tree traversal helped me debug a memory leak caused by infinite recursion in a validation function. The sheet taught me to think recursively before coding.
After finishing the DSA Striver Sheet A2Z, many users move to advanced resources like "The AlgoExpert" or "LeetCode Premium." But the foundation remains critical. As the official LeetCode blog notes, "Success in coding interviews correlates strongly with structured practice-not random problem-solving."
If you're preparing for technical interviews, especially at large tech firms, the DSA Striver Sheet A2Z offers a proven path. It's not magic-but consistent daily work with deliberate review turns raw coding ability into interview-ready fluency.