IMPORTANT NOTE: This is an advanced SQL course, which builds on the skills covered in our introductory MySQL courses. Please review the prerequisite skills or complete the beginner SQL course before taking this one!

If you want to develop practical, real-world analytics & BI skills using advanced SQL, you’re in the right place.

This course is unlike anything you’ve seen before, guaranteed. Instead of using random sample data and obscure demos, we’ll be working with a rich, custom-built eCommerce database that we’ve designed from scratch to help you apply your SQL skills to real projects and learn how to truly THINK like an analyst.

You’ll be playing the role of a newly hired Database Analyst for Maven Fuzzy Factory, an eCommerce start-up, and will be working directly with the CEO, Marketing Director and Website Manager to help grow the business and analyze performance along the way. You’ll use a range of advanced SQL tools and techniques, and work through actual projects that data analysts and business intelligence professionals work on every day.

COURSE OUTLINE:

• Prerequisite SQL Skills Assessment

  In this section we’ll address the core SQL/MySQL skills that you should be comfortable with before starting the course, including SELECT statements, aggregate functions, and table joins. If you aren’t sure how your skills stack up, we’ve included a quiz to assess your baseline SQL knowledge.

• MySQL Setup & Install

  For students who haven’t completed our intro course, we’ll demonstrate exactly how to download and install the tools that we’ll need to access MySQL, including MySQL Community Server & MySQL Workbench. We’ll share download guides for both Mac & PC, and run our first piece of SQL code to generate the project database that we’ll analyze throughout the course.

• Traffic Analysis & Optimization

  In this section we’ll use MySQL to analyze where our website traffic is coming from, how different sources perform in terms of traffic volume and conversion rates, and how we can adjust bids to optimize our budgets.

• Website Measurement & Testing

  In this section we’ll dive into page-level website data to compare traffic and conversion rates, and use MySQL to build and analyze conversion funnels to help optimize the customer purchase experience.

  ***MID-COURSE PROJECT: Preparing data for the executive board meeting

• Channel Analysis & Optimization

  In this section we’ll dig deeper into our traffic channel mix, explore paid vs. free traffic, break down performance by device type, and write advanced SQL queries to conduct some time-series analyses to understand trending and seasonality.

• Product-Level Analysis

  In this section we’ll use MySQL to break down product-level sales and conversion rates, analyze cross-selling patterns, and use refund rates to keep a pulse on quality.

• User-Level Analysis

  In this section we’ll take a closer look at user behavior and repeat sessions, and use MySQL techniques to identify our most valuable customers and explore which channels they are coming from.