MySQL Data Analysis

MySQL is a powerful tool for managing and analyzing relational databases, and a skill that every analyst and BI professional should have in the arsenal.

In this course, you'll play the role of a business owner who just acquired Maven Movies, a brick and mortar DVD rental shop. Using only a MySQL database, your job is to learn everything you can about your new business, including inventory, staff, and customer behavior.

We'll start with a quick intro to the SQL language, address some key database fundamentals, and use MySQL to select, filter, sort and group data from individual tables. From there we'll shift into more complex use cases, and blend data across multiple tables with JOIN queries.

If you're looking for a hands-on, practical guide to learning data analysis with MySQL, this is the course for you.

COURSE CONTENTS:

• 5.5 hours on-demand video (8.0 CPE credits)

• 4 quizzes

• 19 homework assignments

• 2 skills assessments (1 benchmark, 1 final)

COURSE CURRICULUM:

WHO SHOULD TAKE THIS COURSE?

• Analysts or BI professionals looking to quickly retrieve or analyze data stored in relational database systems
• Excel users looking to shift into a broader BI-focused role
• Anyone seeking to learn one of the world's most popular database programming languages

WHAT ARE THE COURSE REQUIREMENTS?

• MySQL Workbench and Community Server (we'll walk you through the install process)
• Experience with database fundamentals encouraged, but not required

WHAT ARE THE COURSE OBJECTIVES?

• Identify key components of the broader SQL landscape, including history, common tools, common "flavors", and benefits

• Identify the functionality of the "Big 6" SQL statements and clauses: SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY

• Identify and interpret the results of SQL statements, including database queries and error messages

• Identify aggregate functions used to analyze groups of rows in SQL, including COUNT, SUM, MAX, AVG, and COUNT DISTINCT

• Identify MySQL pro tips and their common use cases, including commenting, aliases, pattern matching, and the IN operator

• Identify the proper syntax for the CASE statement, and interpret CASE statement processing and results

• Identify key principles of database design, including normalization, cardinality, and primary to foreign key mapping

• Identify common ways to combine data from multiple tables, including JOIN types, UNION, and the functionality of each

CPE ACCREDITATION DETAILS:

• CPE Credits: 8.0

• Field of Study: Information Technology

• Delivery Method: QAS Self Study

Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.

*Last Updated: December 1, 2021