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Here’s a DSA problem-solving cheat sheet that will help you solve 90–95% of questions that come your way.

♦ If the input is an array or string:
• Is the array sorted?
– Yes: Use Binary Search or Two Pointers.
– No: Move to the next checks.
• What is the question asking?
– Number of ways to do something / Max-Min of something:
▪ If decisions are dependent on each other, use Dynamic Programming.
▪ If decisions are independent, use Greedy.
– Is something possible?
▪ Try Backtracking.
• Does it involve string manipulation?
– Prefix matching: Use Trie.
– Building strings or finding distances: Use Stack or Monotonic Stack.
• Is it about finding a specific element?
– Use a Hash Map or Set.
• Does it involve elements being added/removed in a sliding window fashion?
– Use a Sliding Window or Counting Hash Map.
• Is the problem about continuously finding the max/min element or removing them?
– Use a Heap or Monotonic Queue.

♦ If the input is a graph:
• Does the question involve finding the shortest path or the fewest steps?
– Yes: Use Breadth-First Search (BFS).
– No: Use Depth-First Search (DFS).

♦ If the input is a tree (probably binary):
• Does the question involve specific depths/levels?
– Yes: Use Breadth-First Search (BFS).
– No: Use Depth-First Search (DFS).

♦ If the input is a linked list:
• Does it involve detecting cycles?
– Use Fast and Slow Pointers.
• Does it involve reversing or modifications?
– Use a prev pointer for reversing.
– Use a dummy pointer for maintaining the original head.

This flow will help you quickly identify the optimal approach for most DSA problems.

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✅ Daily Coding Habits That Make You a Better Developer 🧠💻✨

1️⃣ Code Every Day (Even 30 Mins)

Consistency builds muscle memory and long-term skills.

2️⃣ Read Other People’s Code

Explore GitHub repos or open-source projects to learn new patterns.

3️⃣ Write Clean, Readable Code

Use meaningful names, proper indentation, and comments.

4️⃣ Review and Refactor

Don’t just finish—improve. Refactor messy code for better logic and performance.

5️⃣ Practice DSA Regularly

Solve at least 1-2 problems a day on LeetCode or HackerRank.

6️⃣ Use Git from Day One

Commit often. It builds discipline and version control skills.

7️⃣ Learn One New Concept Weekly

Could be OOP, error handling, regex, or a new library.

8️⃣ Build Small Projects

Apply what you learn in mini real-world apps—no better way to reinforce skills.

9️⃣ Keep a Code Journal

Write what you learned daily. Great for review and portfolio building.

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🚀 DSA Topics Every Programmer Should Know 💻🔥

📦 1. Arrays

✔ Traversal

✔ Searching

✔ Sorting

✔ Prefix Sum

✔ Two Pointers

🔤 2. Strings

✔ Character Frequency

✔ Palindromes

✔ Anagrams

✔ String Manipulation

🔗 3. Linked Lists

✔ Singly Linked List

✔ Doubly Linked List

✔ Reverse a Linked List

✔ Fast & Slow Pointers

📚 4. Stacks & Queues

✔ Stack Operations

✔ Queue Operations

✔ Monotonic Stack

✔ Circular Queue

🔑 5. Hashing

✔ HashMap

✔ HashSet

✔ Frequency Counting

✔ Duplicate Detection

🌳 6. Trees

✔ Binary Trees

✔ BST

✔ Tree Traversals

✔ Height & Depth

✔ Lowest Common Ancestor

🌐 7. Graphs

✔ BFS

✔ DFS

✔ Shortest Path

✔ Connected Components

✔ Topological Sorting

🔎 8. Searching & Sorting

✔ Binary Search

✔ Merge Sort

✔ Quick Sort

✔ Heap Sort

🧩 9. Recursion & Backtracking

✔ Recursion Basics

✔ Subsets

✔ Permutations

✔ Combination Problems

✔ N-Queens

⚡ 10. Dynamic Programming

✔ Memoization

✔ Tabulation

✔ 1D & 2D DP

✔ Knapsack Problems

✔ Longest Common Subsequence

⏱️ BONUS: Complexity Analysis

✔ Big-O Notation

✔ Time Complexity

✔ Space Complexity

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🔥 SQL Interview Case Studies (Advanced Business Scenarios) 💯

🧠 Case Study 1: Find Repeat Customers
📊 Orders Table
order_id customer_id
1 101
2 102
3 101

❓ Business Question
Find customers who placed more than 1 order.

✅ Solution
SELECT customer_id,
COUNT(*) AS total_orders
FROM orders
GROUP BY customer_id
HAVING COUNT(*) > 1;

🧠 Case Study 2: Highest Paid Employee Per Department
❓ Business Question
Find highest paid employee in every department.

✅ Solution
WITH RankedEmployees AS (
SELECT *,
ROW_NUMBER() OVER(
PARTITION BY department
ORDER BY salary DESC
) rn
FROM employees
)
SELECT *
FROM RankedEmployees
WHERE rn = 1;

🧠 Case Study 3: Find Inactive Customers
❓ Business Question
Customers who haven't ordered in the last 6 months.

✅ Solution
SELECT c.customer_id,
c.name
FROM customers c
LEFT JOIN orders o
ON c.customer_id = o.customer_id
GROUP BY c.customer_id, c.name
HAVING MAX(o.order_date) <
DATE_SUB(CURDATE(), INTERVAL 6 MONTH);

🧠 Case Study 4: Product Generating Highest Revenue
📊 Sales Table
product_id amount

✅ Solution
SELECT product_id,
SUM(amount) AS revenue
FROM sales
GROUP BY product_id
ORDER BY revenue DESC
LIMIT 1;

🧠 Case Study 5: Employee Salary Above Department Average

✅ Solution
WITH DeptAvg AS (
SELECT department,
AVG(salary) avg_salary
FROM employees
GROUP BY department
)

SELECT e.*
FROM employees e
JOIN DeptAvg d
ON e.department = d.department
WHERE e.salary > d.avg_salary;

🧠 Case Study 6: Running Total Sales
❓ Business Question
Calculate cumulative sales.

✅ Solution
SELECT order_date,
amount,
SUM(amount) OVER(
ORDER BY order_date
) AS running_total
FROM sales;

🧠 Case Study 7: Top 3 Products Per Category

✅ Solution
WITH RankedProducts AS (
SELECT *,
ROW_NUMBER() OVER(
PARTITION BY category
ORDER BY sales DESC
) rn
FROM products
)
SELECT *
FROM RankedProducts
WHERE rn <= 3;

🎯 Practice Tasks
1️⃣ Find customer with highest number of orders
2️⃣ Find lowest salary employee per department
3️⃣ Find products never sold
4️⃣ Find departments with average salary > company average
5️⃣ Find month with lowest sales

⚡ Mini Challenge 🔥
Banking Scenario
Tables:
Accounts
account_id customer_name

Transactions
transaction_id account_id amount transaction_date

Question
👉 Find the top 3 customers with highest total transaction amount in the last 1 year.

🔥 Interview Tip
When solving case studies:
1️⃣ Understand business question
2️⃣ Identify tables
3️⃣ Identify JOINs
4️⃣ Identify Aggregations
5️⃣ Decide whether Window Function is needed

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