CodingWithHarry
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CodingWithHarry pinned ยซ๐Ÿš€ Welcome to Coding_000 Empower your projects with our state-of-the-art services: ๐Ÿ‘‰ Source Code ๐Ÿ‘‰ Research Papers ๐Ÿ‘‰ Reports ๐Ÿ‘‰ Deployment ๐Ÿ‘‰ Online Support ๐Ÿ’ก Explore Expertise in: ๐Ÿค– Machine Learning ๐Ÿง  Deep Learning ๐Ÿ Python ๐ŸŒ Pyspark โ˜๏ธ Azure Cloud ๐Ÿผ Pandasโ€ฆยป
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https://t.me/CodingWithHarry
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Complete SQL Topics for Data Analysts ๐Ÿ˜„๐Ÿ‘‡

1. Introduction to SQL:
   - Basic syntax and structure
   - Understanding databases and tables

2. Querying Data:
   - SELECT statement
   - Filtering data using WHERE clause
   - Sorting data with ORDER BY

3. Joins:
   - INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
   - Combining data from multiple tables

4. Aggregation Functions:
   - GROUP BY
   - Aggregate functions like COUNT, SUM, AVG, MAX, MIN

5. Subqueries:
   - Using subqueries in SELECT, WHERE, and HAVING clauses

6. Data Modification:
   - INSERT, UPDATE, DELETE statements
   - Transactions and Rollback

7. Data Types and Constraints:
   - Understanding various data types (e.g., INT, VARCHAR)
   - Using constraints (e.g., PRIMARY KEY, FOREIGN KEY)

8. Indexes:
   - Creating and managing indexes for performance optimization

9. Views:
   - Creating and using views for simplified querying

10. Stored Procedures and Functions:
    - Writing and executing stored procedures
    - Creating and using functions

11. Normalization:
    - Understanding database normalization concepts

12. Data Import and Export:
    - Importing and exporting data using SQL

13. Window Functions:
    - ROW_NUMBER(), RANK(), DENSE_RANK(), and others

14. Advanced Filtering:
    - Using CASE statements for conditional logic

15. Advanced Join Techniques:
    - Self-joins and other advanced join scenarios

16. Analytical Functions:
    - LAG(), LEAD(), OVER() for advanced analytics

17. Working with Dates and Times:
    - Date and time functions and formatting

18. Performance Tuning:
    - Query optimization strategies

19. Security:
    - Understanding SQL injection and best practices for security

20. Handling NULL Values:
    - Dealing with NULL values in queries


Since SQL is one of the most essential skill for data analysts, I have decided to teach each topic daily in this channel for free. Like this post if you want me to continue this SQL series ๐Ÿ‘โ™ฅ๏ธ


Please go through this, this are the only topic you needs to cover
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