Data Analysis With SQL

Introduction to MySQL

  • What is MySQL?

  • History and evolution of MySQL

  • Features and benefits of using MySQL

  • Basic database concepts (DBMS, tables, rows, columns, etc.)

Setting up MySQL

  • Installing MySQL on Windows/Linux/mac

  • OSConfiguring MySQL server settings

  • Creating a new database and user accounts

  • Basic MySQL commands (CREATE, DROP, ALTER, etc.)

Data Types and Schema Design

  • MySQL data types (INT, VARCHAR, DATE, etc.)

  • Creating tables and schema design

  • Understanding primary keys, foreign keys, and indexes

  • Data normalization and denormalization

Data Manipulation

  • INSERT statements (adding new data)

  • UPDATE statements (modifying existing data)

  • DELETE statements (deleting data)

  • Data validation and error handling

  • SELECT statements (simple and complex queries)

  • WHERE clause and filtering data

  • JOINs (INNER, LEFT, RIGHT, FULL)

  • Subqueries and nested queries

  • Aggregate functions (SUM, AVG, MAX, etc.)

SQL Queries

Data Analysis and Reporting

  • Using SQL to analyze data (GROUP BY, HAVING, etc.)

  • Creating reports and visualizations

  • Introduction to MySQL views and stored procedures

Advanced Topics

  • MySQL indexing and caching

  • Transactions and locking

  • Stored procedures and functions

  • MySQL clustering and replication

Project Development

  • Applying MySQL skills to real-world projects

  • Designing and implementing a database schema

  • Writing SQL queries and stored procedures

  • Troubleshooting and optimizing database performance

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