Learn MySQL from scratch for Data Science and Analytics

Overview

The "Learn MySQL from Scratch for Data Science and Analytics" course is your gateway to mastering the art of managing and analyzing data using one of the world’s most popular relational database systems—MySQL. Tailored for beginners and aspiring data professionals, this course provides a solid foundation for harnessing MySQL to unlock insights and drive data-driven decisions.

Syllabus

• Introduction to MySQL
Overview of relational databases
Importance of MySQL in data science
Setting up the MySQL environment
• MySQL Basics
Understanding databases, tables, and schemas
Introduction to MySQL Workbench and command-line tools
Data types and constraints in MySQL
• Data Definition Language (DDL)
Creating and modifying tables
Indexes and primary keys
Foreign keys and relationships
• Data Manipulation Language (DML)
Inserting, updating, and deleting data
Querying data with SELECT statements
Filtering data using WHERE clause
• Advanced Querying
Using JOINs to combine tables
Subqueries and nested queries
Aggregate functions (COUNT, SUM, AVG, etc.)
• Data Analysis with MySQL
Grouping data with GROUP BY and HAVING
Sorting and ordering results
Using common table expressions (CTEs)
• Functions and Stored Procedures
Using built-in functions
Creating and managing stored procedures
Using triggers for automated tasks
• Database Design Principles
Normalization concepts
Designing efficient database schemas
Index optimization strategies
• Performance Tuning and Optimization
Query optimization techniques
Analyzing and improving query performance
Understanding and using indexes efficiently
• Integrating MySQL with Data Science Tools
Connecting MySQL with Python for data analysis
Using MySQL with popular data analytics tools (e.g., R, Tableau)
• Security and Best Practices
User roles and permissions
Data backup and recovery
Best practices for managing a MySQL database
• Capstone Project
Designing a database for a real-world data science project
Importing, querying, and analyzing data
Presenting insights and data-driven recommendations
• Course Review and Next Steps
Recap of key concepts covered
Additional resources for further learning
Guidance for building a career in data science using MySQL

Taught by

Metla Sudha Sekhar

Subjects

Programming