Using Python to Drive Insights in BigQuery

In today’s world, we have to deal with ever-growing datasets. These often require specialized computer solutions to handle the extremely large volume. Google BigQuery makes it easy to query, process, and visualize large datasets. In this lab,  we will get started with BigQuery to analyze a large public dataset.

Learning Objectives

Upon completion of this lab, you will be able to:

• Utilize BigQuery magic notation to query in Jupyter Notebooks
• Utilize Python to interact with BigQuery
• Visualize a BigQuery dataset

Intended Audience

This lab is intended for:

• Data engineers
• Anyone interested in gaining insights from BigQuery using Python

Prerequisites

You should possess:

• A basic understanding of Python
• A basic understanding of data engineering concepts

Updates

August 19th, 2025 - Resvoled issue connecting to the lab's notebook

May 28th, 2025 - Migrated lab environment and updated notebook queries to use public BigQuery data

August 7th, 2024 - Added password protection to notebook