hands-on lab

Visualizing Trends from Order History with Google Data Studio

Difficulty: Beginner
Duration: Up to 1 hour
Students: 140
Rating: 3/5
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

Once data is loaded into a database the question next becomes how can you make use of this data? Google Data Studio can solve that problem, by allowing you to visualize, embed, and share data quickly. These valuable insights allow users to look at quick summaries of aggregated information to make better business decisions. This lab is aimed at beginners who want to understand how to import data and make their first insight.

Learning Objectives

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

  • Learn and Understand Google Data Studio
  • Learn how to connect to a MySQL Datasource
  • Learn how to Visualize data after importing a dataset

Intended Audience

This lab is intended for:

  • Individuals interested in data visualization
  • Anyone interested in using Google Data Studio to uncover insights from data

Prerequisites

You should possess:

  • A basic understanding of Python
  • Basic Understanding of Google Cloud SQL

Updates

August 20th, 2025 - Resvoled issue connecting to the lab's notebook

June 24th, 2025 - Updated GCP VM instance image

April 22nd, 2025 - Updated the Cloud SQL DB version and Jupyter Notebook instructions

August 8th, 2024 - Added password protection to notebook

August 29th, 2022 - Updated the instructions and screenshots to reflect the latest UI

July 12th, 2021 - Clarified that it is required for the database to reach the ready state before being able to connect to the database.

Covered topics

Hands-on Lab UUID

Lab steps

0 of 2 steps completed.Use arrow keys to navigate between steps. Press Enter to go to a step if available.
  1. Signing In to the Google Cloud Console
  2. Opening the Lab's Jupyter Notebook in Google Cloud