
Explore course structure and hands-on MySQL analytics for ecommerce, using a custom ecommerce database to learn select statements, aggregate functions, and joins through real-world business intelligence projects.
Install and connect MySQL community server and MySQL Workbench, explore the interface, run a single SQL script to create the database, and follow troubleshooting tips to stay on track.
Download the mac version of MySQL community server from dev.mysql.com, install with the DMG package, and set the root password. Then verify in system preferences before connecting with MySQL Workbench.
Install the Mac version of MySQL Workbench from dev.mysql.com/downloads/workbench, download the DMG archive, move it to the Applications folder, and get ready to create a connection to a community server.
Analyze traffic sources and performance using SQL to measure volume and conversion rates, and learn bid adjustments to optimize marketing budgets.
Analyze weekly traffic source trends in ecommerce data using a case pivot method to split desktop and mobile sessions, focusing on g search non-brand traffic from April 15, 2012 onward.
Isolate the 50/50 ab test period for Lander One, compare home page to the search non-brand landing page, and compute total sessions, bounce sessions, and bounce rate to assess improvement.
Learn to build and analyze a conversion funnel from lander to thank you page using SQL, tracing steps like products, Mr. Fuzzy, cart, shipping, and billing for session-level insights.
Apply midcourse project skills to craft a data-backed recap of initial performance for the board, using the database to tell a great story.
This solution video demonstrates calculating total sessions, mobile sessions, and percent mobile for UTM sources G search and B search, within the August 22, 2012 to November 30, 2012 window.
Analyze organic search, direct type-in, and paid brand search sessions by month, then express free-channel traffic as a percent of non-brand traffic to assess brand momentum.
Explore seasonality and business patterns using MySQL date functions to perform dayparting and hourly, daily, weekly, and quarterly analyses, enabling proactive staffing and trend insights.
Analyze the cross-sell impact on the cart page by comparing pre and post periods, measuring sessions, click-through rate, orders, items per order, and revenue per cart session.
Analyze product refund rates to assess supplier quality and pricing effects, using the order item refunds table to measure refunds and impact on revenue.
Analyze repeat visitors by counting new sessions and their repeat sessions in website data; reveal user counts by repeat sessions to inform customer value and bidding.
Analyze repeat visitor behavior by computing the average, minimum, and maximum days between first and second sessions for customers who return, using date functions and aggregate analysis.
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 database analytics & business intelligence skills using advanced SQL, you're in the right place.
This course is unlike anything you’ve seen before. 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 a data 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 data analysis techniques to identify our most valuable customers and explore which channels they are coming from.
*FINAL PROJECT: Building a data-driven growth story for potential investors
Unlike other SQL courses, this one is uniquely designed to sharpen your business intelligence and analytical thinking skills; as you complete course projects and exercises, you’ll actually see patterns and trends emerging in the data based on your findings. For those looking to pursue a career in analytics, this course is a must.
Enroll today and get LIFETIME access to:
8+ hours of high-quality video
Downloadable MySQL ebook
Quizzes and hands-on projects
Mid-course and Final SQL projects
30-day money-back guarantee
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).
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 John is one of the TOP-RATED SQL/MySQL Instructors on Udemy:
"I totally loved this course! Everything was 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.
"This is an excellent advanced course! I've taken both SQL courses from Maven Analytics and highly recommend both. The best part of this course is the detail they included by building a real world e-commerce database. It's much easier to grasp the concepts when you can see how they're literally applied to scenarios and outcomes as opposed to just theory. Great work!"
- Dan S.
"John's deep understanding of SQL and database analysis and ability to explain those tools is really unmatched. I've taken other SQL and MySQL courses and tried reading books, but this course is by far the most effective. Excited to see more courses from John!"
- Steven M.