Data Science Projects
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βœ…10 Most Useful SQL Interview Queries (with Examples) πŸ’Ό

1️⃣ Find the second highest salary:
SELECT MAX(salary)  
FROM employees 
WHERE salary < (SELECT MAX(salary) FROM employees);


2️⃣ Count employees in each department:
SELECT department, COUNT(*)  
FROM employees 
GROUP BY department;


3️⃣ Fetch duplicate emails:
SELECT email, COUNT(*)  
FROM users 
GROUP BY email 
HAVING COUNT(*) > 1;


4️⃣ Join orders with customer names:
SELECT c.name, o.order_date  
FROM customers c 
JOIN orders o ON c.id = o.customer_id;


5️⃣ Get top 3 highest salaries:
SELECT DISTINCT salary  
FROM employees 
ORDER BY salary DESC 
LIMIT 3;


6️⃣ Retrieve latest 5 logins:
SELECT * FROM logins  
ORDER BY login_time DESC 
LIMIT 5;


7️⃣ Employees with no manager:
SELECT name  
FROM employees 
WHERE manager_id IS NULL;


8️⃣ Search names starting with β€˜S’:
SELECT * FROM employees  
WHERE name LIKE 'S%';


9️⃣ Total sales per month:
SELECT MONTH(order_date) AS month, SUM(amount)  
FROM sales 
GROUP BY MONTH(order_date);


πŸ”Ÿ Delete inactive users:
DELETE FROM users  
WHERE last_active < '2023-01-01';


βœ… Tip: Master subqueries, joins, groupings & filters – they show up in nearly every interview!

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Ever wondered what the difference is between a Data Analyst and a Data Scientist? Both roles are in high demand, but they tackle data in different ways.
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Machine Learning Project Ideas πŸ‘†
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How to enter into Data Science

πŸ‘‰Start with the basics: Learn programming languages like Python and R to master data analysis and machine learning techniques. Familiarize yourself with tools such as TensorFlow, sci-kit-learn, and Tableau to build a strong foundation.

πŸ‘‰Choose your target field: From healthcare to finance, marketing, and more, data scientists play a pivotal role in extracting valuable insights from data. You should choose which field you want to become a data scientist in and start learning more about it.

πŸ‘‰Build a portfolio: Start building small projects and add them to your portfolio. This will help you build credibility and showcase your skills.
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10 Books on Data Science & Data Analysis will be posted on this channel daily basis

Book 1. Python for Data Analysis

Publisher: O'Reilly

wesmckinney.com/book/

Give it a like if you want me to continue ❀️
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2. Fundamentals of Data Visualization

Publisher: O'Reilly

clauswilke.com/dataviz/

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4. R for Data Science

Publisher: O'Reilly

πŸ–‡οΈ r4ds.hadley.nz

10 Data Science Books
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8. Mining Social Media

Publisher: No Starch Press

πŸ–‡οΈ socialdata.site
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Data Science Projects Part-1
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