SQL for Data Analysis: Beginner MySQL Business Intelligence (Udemy.com)

SQL and MySQL are incredibly powerful tools for managing and analyzing relational databases, and a skill that every Analyst and Business Intelligence 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 and MySQL Workbench, your mission is to learn everything that you can about your new business; including your inventory, staff, and customer behavior.

But don't worry, you're not alone! We'll be right here to guide you from start to finish, sharing crystal clear explanations, MySQL pro tips and best practices, and course quizzes, projects and homework assignments to test your SQL data analysis and database analytics skills along the way.

COURSE OUTLINE:

• SQL Intro & MySQL Setup

  We’ll start with a quick intro to the SQL landscape and it's common "flavors" (MySQL, SQLite, PostgreSQL, etc), then download and install the tools that we'll need to access and explore our MySQL database (MySQL Community Server + MySQL Workbench)

  
  

• SQL Database Fundamentals (Part 1)

  Once we have our tools installed, we'll quickly review some database fundamentals and begin to explore the 16 tables contained within our MySQL database, containing information about Maven Movies customers, inventory, and transactions.

  
  

• Analyzing Data from Single Tables with MySQL

  In this section we'll start exploring and extracting information from individual tables in our MySQL database, and practice writing SQL queries to select, filter, sort and group our data for analysis and business intelligence.

  
  

  [MID-COURSE MYSQL PROJECT]

  
  

• SQL Database Fundamentals (Part 2)

  The second half of the course is all about anayzing data from multiple tables in MySQL, so we'll begin with a quick review of relational databases, data modeling and database analysis: primary vs. foreign keys, relationship cardinality, normalization, etc.

  
  

• Analyzing Multiple Tables via MySQL JOINS

  In this section, we'll review the most common types of SQL joins (INNER, LEFT, RIGHT, OUTER, etc), and explore some more complex MySQL queries to analyze data that bridges multiple tables in our database.

  
  

  [FINAL MYSQL PROJECT]

IMPORTANT NOTE: This course does NOT cover building, altering, or maintaining SQL/MySQL databases. Our goal here is to focus on data exploration and database analysis using MySQL and MySQL Workbench (we'll cover database administration tools in a separate course).

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Enroll today and get LIFETIME access to:

• 5+ hours of high-quality video

• Downloadable MySQL ebook

• Quizzes and homework assignments

• Mid-course and Final SQL projects

• 30-day money-back guarantee

If you’re looking for a hands-on, practical guide to mastering data analysis with SQL/MySQL, this is the course for you!

Happy analyzing!

-John (Lead SQL Instructor & MySQL Expert, Maven Analytics)

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Looking for the full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses!

See why this is one of the TOP RATED SQL/MySQL Courses on Udemy:

"Clear presentation of information and with enough repetition of important SQL concepts to help make the information memorable. Loved the frequent practice examples and code debugging exercises!"

- Maggi M.

"I totally loved this course! Everything was very easy to understand, but it moved at a fast enough pace that I never got bored. I learned SO much about MySQL and had fun doing it. In fact, at the end of the day I didn't want to stop learning -- I wanted to keep charging on to the next lesson!"

- Ann S.

"John's deep understanding of SQL and database analysis and ability to explain those tools to a newcomer with 0 experience, is really unmatched. I've taken other SQL and MySQL courses and tried reading books, but this course is by far the easiest way to understand SQL. Excited to see more courses from John!"

- Steven M.