Substantially increase your value as an analyst by learning how to take on light data engineering tasks.

 A two-part series demonstrating a real-world analytics workflow on how to handle incomplete, messy data with Python, load it into a SQL database and analyze it using Tableau. This workflow demonstrates a full Extract Transform Load (ETL) process, and how it relates to analytics.

This talk will be useful for analysts who want a better understanding of how data gets into the data warehouse, which will help them write better pull requests for data engineers.