Python is a powerful addition to any data professional's stack of tools. Its data analysis library, Pandas, is a workhorse used daily by analysts, data scientists, and data engineers alike.

And the best part? ANYONE can start learning Python and Pandas in just a matter of minutes – for free!

In this demo, we’ll play the role of an Analytics Consultant for a local restaurant. 🍝

We've been given flat files storing information on the restaurant's menu items and orders for the past three months, and our task is to identify opportunities to streamline the business.

Using Python & Pandas, we'll explore the data and generate visualizations that help pinpoint order seasonality, menu item performance, and more.

Along the way, we’ll walk through the steps of an exploratory analysis:

1. Read & profile data from flat files

2. Join data across multiple tables

3. Apply filtering, sorting and aggregation methods

4. Visualize data with charts and graphs

…all in less than 20 minutes!