Course Overview

Here’s a possible syllabus for an eight-module course on MySQL for data analytics:

Module 1: Introduction to MySQL

• Overview of MySQL and its role in data analytics
• Installation and setup of MySQL
• Basic SQL commands: SELECT, FROM, WHERE, ORDER BY, LIMIT

Module 2: Data manipulation with MySQL

• INSERT, UPDATE, DELETE statements
• JOINs and UNIONs for combining data from multiple tables
• Aggregation functions: COUNT, SUM, AVG, MAX, MIN

Module 3: Data analysis with MySQL

• GROUP BY and HAVING statements for grouping and filtering data
• Subqueries for complex analysis and data transformation
• CASE statements for conditional logic in queries

Module 4: Advanced data analysis with MySQL

• Window functions for advanced analysis and data ranking
• Stored procedures and functions for automating data processing
• Indexing and query optimization for performance tuning

Module 5: MySQL and data visualization

• Overview of data visualization tools and techniques
• Exporting data from MySQL for use in data visualization tools
• Creating basic charts and graphs using MySQL data

Module 6: MySQL and data modeling

• Overview of database design principles
• Creating tables, relationships, and constraints in MySQL
• Normalization techniques for efficient database design

Module 7: MySQL and data integration

• Overview of ETL (extract, transform, load) processes
• Using MySQL with other data integration tools (e.g., Apache Kafka, Apache Nifi)
• Best practices for integrating MySQL with other data sources

Module 8: MySQL and big data

• Overview of big data concepts and technologies
• Using MySQL with Hadoop and other big data tools
• Best practices for scaling MySQL for big data processing