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.
Learn from one of my successful graduates.
Charles Mendelson is a marketing data analyst for fintech firm PitchBook. He also regularly contributes to Towards Data Science and is working on his masters in psychology from the Harvard Extension School.