Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

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SQL Interview Questions for 0-1 year of Experience (Asked in Top Product-Based Companies). Sharpen your SQL skills with these real interview questions! Q1. Customer Purchase Patterns - You have two tables, Customers and Purchases: CREATE TABLE Customers ( customer_id INT PRIMARY KEY, customer_name VARCHAR(255) ); CREATE TABLE Purchases ( purchase_id INT PRIMARY KEY, customer_id INT, product_id INT, purchase_date DATE ); Assume necessary INSERT statements are already executed. Write an SQL query to find the names of customers who have purchased more than 5 different products within the last month. Order the result by customer_name. Q2. Call Log Analysis - Suppose you have a CallLogs table: CREATE TABLE CallLogs ( log_id INT PRIMARY KEY, caller_id INT, receiver_id INT, call_start_time TIMESTAMP, call_end_time TIMESTAMP ); Assume necessary INSERT statements are already executed. Write a query to find the average call duration per user. Include only users who have made more than 10 calls in total. Order the result by average duration descending. Q3. Employee Project Allocation - Consider two tables, Employees and Projects: CREATE TABLE Employees ( employee_id INT PRIMARY KEY, employee_name VARCHAR(255), department VARCHAR(255) ); CREATE TABLE Projects ( project_id INT PRIMARY KEY, lead_employee_id INT, project_name VARCHAR(255), start_date DATE, end_date DATE ); Assume necessary INSERT statements are already executed. The goal is to write an SQL query to find the names of employees who have led more than 3 projects in the last year. The result should be ordered by the number of projects led.

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If you want to be a data analyst, you should work to become as good at SQL as possible. 📱 1. SELECT What a surprise! I need to choose what data I want to return. 2. FROM Again, no shock here. I gotta choose what table I am pulling my data from. 3. WHERE This is also pretty basic, but I almost always filter the data to whatever range I need and filter the data to whatever condition I’m looking for. 4. JOIN This may surprise you that the next one isn’t one of the other core SQL clauses, but at least for my work, I utilize some kind of join in almost every query I write. 5. Calculations This isn’t necessarily a function of SQL, but I write a lot of calculations in my queries. Common examples include finding the time between two dates and multiplying and dividing values to get what I need. Add operators and a couple data cleaning functions and that’s 80%+ of the SQL I write on the job. React ♥️ for more

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✅ Step-by-Step Guide to Create a Data Science Portfolio 🎯📊 ✅ 1️⃣ Pick Your Focus Area Decide what kind of data scientist you want to be: • Data Analyst → Excel, SQL, Power BI/Tableau 📈 • Machine Learning → Python, Scikit-learn, TensorFlow 🧠 • Data Engineer → Python, Spark, Airflow, Cloud ⚙️ • Full-stack DS → Mix of analysis + ML + deployment 🧑‍💻 ✅ 2️⃣ Plan Your Portfolio Sections Your portfolio should include: • Home Page – Quick intro about you 👋 • About Me – Education, tools, skills 📝 • Projects – With code, visuals & explanations 📊 • Blog (optional) – Share insights & tutorials ✍️ • Contact – Email, LinkedIn, GitHub, etc. ✉️ ✅ 3️⃣ Build the Portfolio Website Options to build: • Use Jupyter Notebook + GitHub Pages 🌐 • Create with Streamlit or Gradio (for interactive apps) ✨ • Full site: HTML/CSS or React + deploy on Netlify/Vercel 🚀 ✅ 4️⃣ Add 2–4 Quality Projects Project ideas: • EDA on real-world datasets 🔍 • Machine learning prediction model 🔮 • NLP app (e.g., sentiment analysis) 💬 • Dashboard in Power BI/Tableau 📈 • Time series forecasting ⏳ Each project should include: • Problem statement ❓ • Dataset source 📁 • Visualizations 📊 • Model performance ✅ • GitHub repo + live app link (if any) 🔗 • Brief write-up or blog 📄 ✅ 5️⃣ Showcase on GitHub • Create clean repos with README files 🌟 • Add visuals, summaries, and instructions 📸 • Use Jupyter notebooks or Markdown ✏️ ✅ 6️⃣ Deploy and Share • Use Streamlit Cloud, Hugging Face, or Netlify 🚀 • Share on LinkedIn & Kaggle 🤝 • Use Medium/Hashnode for blogs 📝 • Create a resume link to your portfolio 🔗 💡 Pro Tips: • Focus on storytelling: Why the project matters 📖 • Show your thought process, not just code 🤔 • Keep UI simple and clean ✨ • Add certifications and tools logos if needed 🏅 • Keep your portfolio updated every 2–3 months 🔄 🎯 Goal: When someone views your site, they should instantly see your skills, your projects, and your ability to solve real-world data problems. 💬 Tap ❤️ if this helped you!

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20 medium-level SQL interview questions: 1. Write a SQL query to find the second-highest salary. 2. How would you optimize a slow SQL query? 3. What is the difference between INNER JOIN and OUTER JOIN? 4. Write a SQL query to find the top 3 departments with the highest average salary. 5. How do you handle duplicate rows in a SQL query? 6. Write a SQL query to find the employees who have the same name and work in the same department. 7. What is the difference between UNION and UNION ALL? 8. Write a SQL query to find the departments with no employees. 9. How do you use indexing to improve SQL query performance? 10. Write a SQL query to find the employees who have worked for more than 5 years. 11. What is the difference between SUBQUERY and JOIN? 12. Write a SQL query to find the top 2 products with the highest sales. 13. How do you use stored procedures to improve SQL query performance? 14. Write a SQL query to find the customers who have placed an order but have not made a payment. 15. What is the difference between GROUP BY and HAVING? 16. Write a SQL query to find the employees who work in the same department as their manager. 17. How do you use window functions to solve complex queries? 18. Write a SQL query to find the top 3 products with the highest average price. 19. What is the difference between TRUNCATE and DELETE? 20. Write a SQL query to find the employees who have not taken any leave in the last 6 months. Like for detailed answers ❤️

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🔥 Top SQL Interview Questions with Answers 🎯 1️⃣ Find 2nd Highest Salary 📊 Table: employees id | name | salary 1 | Rahul | 50000 2 | Priya | 70000 3 | Amit | 60000 4 | Neha | 70000 ❓ Problem Statement: Find the second highest distinct salary from the employees table. ✅ Solution SELECT MAX(salary) FROM employees WHERE salary < ( SELECT MAX(salary) FROM employees ); 🎯 2️⃣ Find Nth Highest Salary 📊 Table: employees id | name | salary 1 | A | 100 2 | B | 200 3 | C | 300 4 | D | 200 ❓ Problem Statement: Write a query to find the 3rd highest salary. ✅ Solution SELECT salary FROM ( SELECT salary, DENSE_RANK() OVER(ORDER BY salary DESC) r FROM employees ) t WHERE r = 3; 🎯 3️⃣ Find Duplicate Records 📊 Table: employees id | name 1 | Rahul 2 | Amit 3 | Rahul 4 | Neha ❓ Problem Statement: Find all duplicate names in the employees table. ✅ Solution SELECT name, COUNT(*) FROM employees GROUP BY name HAVING COUNT(*) > 1; 🎯 4️⃣ Customers with No Orders 📊 Table: customers customer_id | name 1 | Rahul 2 | Priya 3 | Amit 📊 Table: orders order_id | customer_id 101 | 1 102 | 2 ❓ Problem Statement: Find customers who have not placed any orders. ✅ Solution SELECT c.name FROM customers c LEFT JOIN orders o ON c.customer_id = o.customer_id WHERE o.customer_id IS NULL; 🎯 5️⃣ Top 3 Salaries per Department 📊 Table: employees name | department | salary A | IT | 100 B | IT | 200 C | IT | 150 D | HR | 120 E | HR | 180 ❓ Problem Statement: Find the top 3 highest salaries in each department. ✅ Solution SELECT * FROM ( SELECT name, department, salary, ROW_NUMBER() OVER( PARTITION BY department ORDER BY salary DESC ) r FROM employees ) t WHERE r <= 3; 🎯 6️⃣ Running Total of Sales 📊 Table: sales date | sales 2024-01-01 | 100 2024-01-02 | 200 2024-01-03 | 300 ❓ Problem Statement: Calculate the running total of sales by date. ✅ Solution SELECT date, sales, SUM(sales) OVER(ORDER BY date) AS running_total FROM sales; 🎯 7️⃣ Employees Above Average Salary 📊 Table: employees name | salary A | 100 B | 200 C | 300 ❓ Problem Statement: Find employees earning more than the average salary. ✅ Solution SELECT name, salary FROM employees WHERE salary > ( SELECT AVG(salary) FROM employees ); 🎯 8️⃣ Department with Highest Total Salary 📊 Table: employees name | department | salary A | IT | 100 B | IT | 200 C | HR | 500 ❓ Problem Statement: Find the department with the highest total salary. ✅ Solution SELECT department, SUM(salary) AS total_salary FROM employees GROUP BY department ORDER BY total_salary DESC LIMIT 1; 🎯 9️⃣ Customers Who Placed Orders 📊 Tables: Same as Q4 ❓ Problem Statement: Find customers who have placed at least one order. ✅ Solution SELECT name FROM customers c WHERE EXISTS ( SELECT 1 FROM orders o WHERE c.customer_id = o.customer_id ); 🎯 🔟 Remove Duplicate Records 📊 Table: employees id | name 1 | Rahul 2 | Rahul 3 | Amit ❓ Problem Statement: Delete duplicate records but keep one unique record. ✅ Solution DELETE FROM employees WHERE id NOT IN ( SELECT MIN(id) FROM employees GROUP BY name ); 🚀 Pro Tip: 👉 In interviews: First explain logic Then write query Then optimize Double Tap ♥️ For More

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