CODING FOR ANALYSIS

Set up a mounted volume in Docker with a Data Science Jupyter Notebook and MySQL Server to easily share information between both containers

Last part of SQL & Analysis series. We explore what the most common JOINs uses are and put them into practice.

Using an index table, quick and straight to the point wrap up of parts 2 & 3

Diving deeper on what we started to see in Part 2. Lots of troubleshooting and thoughts on data management

Timestamps and timezones, using Spreadsheets for updating our tables and the wonders of Views

From basic statements to a rounded intermediate knowledge approached from a data analysis mindset

Quick guide to get a MySQL container in Docker and connect it to MySQL Workbench