Data Analysis and Databases – Telegram
Data Analysis and Databases
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Learn how to analyze data effectively and manage databases with ease.

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📖 Data Science Cheatsheet
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📖 Checklist to become a Data Analyst
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Here are five of the most commonly used SQL queries in data science:

1. SELECT and FROM Clauses
- Basic data retrieval: SELECT column1, column2 FROM table_name;

2. WHERE Clause
- Filtering data: SELECT * FROM table_name WHERE condition;

3. GROUP BY and Aggregate Functions
- Summarizing data: SELECT column1, COUNT(*), AVG(column2) FROM table_name GROUP BY column1;

4. JOIN Operations
- Combining data from multiple tables:

     SELECT a.column1, b.column2
FROM table1 a
JOIN table2 b ON a.common_column = b.common_column;

5. Subqueries and Nested Queries
- Advanced data retrieval:

     SELECT column1
FROM table_name
WHERE column2 IN (SELECT column2 FROM another_table WHERE condition);
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🔅 Data Engineering: dbt for SQL

📝 Learn how you can use dbt (data build tool) to make managing your SQL code simpler and faster.

🌐 Author: Vinoo Ganesh
🔰 Level: Advanced
Duration: 1h 31m

📋 Topics: Data Build Tool, Data Engineering, SQL

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