https://github.com/vbs360/sql_mysql_for_data_analytics_and_business_intelligence

This repository contains SQL exercises and projects based on the "SQL - MySQL for Data Analytics and Business Intelligence" course.
https://github.com/vbs360/sql_mysql_for_data_analytics_and_business_intelligence

data-engineering data-management data-manipulation data-science data-visualization

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This repository contains SQL exercises and projects based on the "SQL - MySQL for Data Analytics and Business Intelligence" course.

• Host: GitHub
• URL: https://github.com/vbs360/sql_mysql_for_data_analytics_and_business_intelligence
• Owner: VBS360
• Created: 2024-09-13T05:24:26.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-16T19:59:47.000Z (4 months ago)
• Last Synced: 2024-09-17T01:09:32.857Z (4 months ago)
• Topics: data-engineering, data-management, data-manipulation, data-science, data-visualization
• Homepage: https://www.udemy.com/course/sql-mysql-for-data-analytics-and-business-intelligence
• Size: 22.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# SQL - MySQL for Data Analytics and Business Intelligence

This repository contains SQL exercises and projects based on the "SQL - MySQL for Data Analytics and Business Intelligence" course. The focus is on practical SQL skills for real-world data analytics, data science, business intelligence, and data management tasks.

## Course Overview

The course covers a comprehensive range of SQL topics, including:

- **Data Selection and Filtering:** Learn to extract and filter data using `SELECT`, `WHERE`, and other clauses.

- **Data Aggregation and Grouping:** Master the use of `GROUP BY`, `HAVING`, and aggregate functions like `SUM`, `COUNT`, and `AVG`.

- **Joins and Subqueries:** Combine data from multiple tables using various types of `JOIN`, `UNION`, and subqueries.

- **Data Manipulation:** Techniques for inserting, updating, and deleting data using `INSERT`, `UPDATE`, and `DELETE`.

- **Advanced SQL Concepts:** Explore window functions, CTEs (Common Table Expressions), and analytical functions.

- **Data Cleaning and Transformation:** Use SQL to clean and transform raw data into a structured format suitable for analysis.

- **Case Studies and Projects:** Hands-on projects simulating real-world business scenarios and data analysis tasks.

## Repository Content

This repository is organized into several sections, each focusing on a specific area of SQL:

1. **Basic SQL Queries:** Fundamental exercises for beginners, including simple queries, filtering, and sorting data.

2. **Intermediate SQL Queries:** More complex queries, including joins, subqueries, and grouping data.

3. **Advanced SQL Concepts:** Advanced topics like window functions, CTEs, and analytical functions.

4. **Data Cleaning and Transformation:** Exercises and examples of using SQL to clean and preprocess data.

5. **Case Studies and Projects:** Comprehensive projects applying SQL skills to analyze business problems and extract insights.

## How to Use

Each section includes SQL scripts and sample data sets that you can run on your MySQL server. To get started:

1. Clone this repository to your local machine.

2. Import the sample data into your MySQL server.

3. Run the SQL scripts in the order provided to practice and reinforce your SQL skills.

## Prerequisites

- Basic understanding of SQL and databases.

- MySQL server installed on your local machine or access to a MySQL database.

## Acknowledgments

This repository is based on exercises and projects from the "SQL - MySQL for Data Analytics and Business Intelligence" course. Special thanks to the course instructors for providing a comprehensive learning experience.