Examples & Solutions from data analysis courses
📌 Course 1:
Basics of Data Analysis with MySQL
📑 Description:
➥ SQL Database Fundamentals (Part 1)
Reviewing some database fundamentals and begining 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
Exploring and extracting information from individual tables in MySQL database, and practicing writing SQL queries to select, filter, sort and group data.
➥ SQL Database Fundamentals (Part 2)
The second half of the course is all about anayzing data from multiple tables in MySQL, a quick review of relational databases and database analysis: primary vs. foreign keys, relationship cardinality, normalization, etc.
➥ Analyzing Multiple Tables via MySQL JOINS
Reviewing 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 database.
📌 Course 2:
Advanced Data Analysis with MySQL
📑 Description:
➥ Traffic Analysis & Optimization
Using MySQL to analyze where our website traffic is coming from, how different sources perform in terms of traffic volume and conversion rates, and how bids can be adjusted to optimize budgets.
➥ Website Measurement & Testing
Diving into page-level website data to compare traffic and conversion rates, and using MySQL to build and analyze conversion funnels to help optimize the customer purchase experience.
➥ Channel Analysis & Optimization
Digging deeper into traffic channel mix, explore paid vs. free traffic, break down performance by device type, and writting advanced SQL queries to conduct some time-series analyses to understand trending and seasonality.
➥ Product-Level Analysis
Using MySQL to break down product-level sales and conversion rates, analyze cross-selling patterns, and using refund rates to keep a pulse on quality.
➥ User-Level Analysis
Taking a closer look at user behavior and repeat sessions, and using MySQL techniques to identify most valuable customers and explore which channels they are coming from.