Advanced SQL: MySQL Data Analysis & Business Intelligence
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.
***FINAL PROJECT: Building a data-driven growth story for potential investors