Managing Big Data with MySQL Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course provides a hands-on introduction to managing big data using MySQL, designed for beginners in data engineering and analytics. You'll gain practical SQL skills through real-world business datasets and learn to model, query, and analyze large-scale data effectively. With approximately 27 hours of content, the course is structured into six modules that build progressively from database fundamentals to advanced querying and a final project. Learners will complete hands-on exercises and develop a portfolio of SQL queries applicable in business analysis roles.

Module 1: Introduction to Managing Big Data with MySQL

Estimated time: 1 hour

Course objectives and structure
The significance of big data in business environments
Role of MySQL in data management
Overview of the learning path

Module 2: Understanding Relational Databases

Estimated time: 4 hours

Basics of relational databases
Creating and interpreting ER diagrams
Understanding database schemas
Designing effective data structures

Module 3: Queries to Extract Data from Single Tables

Estimated time: 6 hours

Writing basic SQL queries
Retrieving data using SELECT statements
Filtering and sorting data with WHERE and ORDER BY
Exploring business-related datasets through hands-on practice

Module 4: Queries to Extract and Combine Data from Multiple Tables

Estimated time: 6 hours

Performing joins to merge data
Understanding inner, outer, and self-joins
Working with multiple table relationships
Analyzing complex data scenarios using SQL

Module 5: Aggregating and Summarizing Data for Analysis

Estimated time: 5 hours

Using aggregate functions (SUM, COUNT, AVG)
Grouping data with GROUP BY
Filtering grouped data using HAVING
Applying analysis to business case studies

Module 6: Final Project