CodingWithHarry
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Say this with me:

I can make my dream life, career, and money real.

I have a plan, and it's happening now.

I'll achieve it, no matter what.

Never Give Up 😊

@OFFCAMPUS_000 ❀️
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πŸš€ Welcome to Coding_000

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CodingWithHarry pinned Β«πŸš€ Welcome to Coding_000 Empower your projects with our state-of-the-art services: πŸ‘‰ Source Code πŸ‘‰ Research Papers πŸ‘‰ Reports πŸ‘‰ Deployment πŸ‘‰ Online Support πŸ’‘ Explore Expertise in: πŸ€– Machine Learning 🧠 Deep Learning 🐍 Python 🌐 Pyspark ☁️ Azure Cloud 🐼 Pandas…»
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πŸ“ŒHello everyone ✌️

βœ…So from today let’s learn SQL from basics to advance 😊

Share and joinπŸ˜πŸ‘¨β€πŸ’»

https://t.me/CodingWithHarry
https://t.me/CodingWithHarry
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Complete SQL Topics for Data Analysts πŸ˜„πŸ‘‡

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 πŸ‘β™₯️


Please go through this, this are the only topic you needs to cover
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SQL LEARNING PART-1

Complete SQL Topics for Data Analysis

https://t.me/codingwithharry πŸ‘¨β€πŸ’»β€οΈ

Let's start with the first topic:

πŸ“Œ1. Introduction to SQL:
SQL (Structured Query Language) is a programming language designed for managing and querying relational databases. It provides a standardized way to interact with databases. The basic structure of an SQL query involves:

SELECT column1, column2 FROM table_name WHERE condition;
- `SELECT: Specifies the columns to retrieve.

-
FROM: Specifies the table from which to retrieve the data.
-
WHERE: Filters the rows based on a condition.

Example:
``sql
SELECT first_name, last_name FROM employees WHERE department = 'IT';

This query retrieves the first name and last name of employees working in the IT department.

Hope it helps :)
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