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  5. Visualizing BigQuery Data with Google Data Studio

Introduction

The course is part of this learning path

Contents

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Introduction
Conclusion
6
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Introduction
Overview
Transcript
DifficultyIntermediate
Duration40m
Students750
Ratings
4.9/5
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Description

Course Description

Google Data Studio is a web-based application for creating reports and dashboards. It’s an easy-to-use tool for displaying your data visually. It was designed to help Google Analytics users create custom reports, but it can now read data from many sources, including BigQuery, Cloud SQL, and Cloud Storage.

In this course, you will learn how to connect a Data Studio report to a BigQuery dataset, visualize it with charts and graphs, and share it with your co-workers to make data-driven decisions.

Learning Objectives

  • Create a report in Data Studio
  • Connect a Data Studio report to a BigQuery dataset
  • Share a Data Studio report with appropriate levels of access
  • Explain the differences between Data Studio and Cloud Datalab

Intended Audience

  • Data professionals, especially those who work with big data
  • People studying for the Google Professional Data Engineer exam

Prerequisites

  • “Introduction to Google BigQuery” course or experience with BigQuery
  • Google Cloud Platform account (sign up for free trial at https://cloud.google.com/free if you don’t have an account)

This Course Includes

  • 39 minutes of high-definition video
  • Many hands-on demos

 

About the Author

Students14709
Courses41
Learning paths21

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).

Welcome to “Visualizing BigQuery Data with Google Data Studio”. I’m Guy Hummel, the Google Cloud Content Lead at Cloud Academy, and I’ll be showing you how to use this reporting tool. If you have any questions, feel free to connect with me on LinkedIn and send me a message, or send an email to support@cloudacademy.com.

This course is intended for data professionals, especially those who work with big data. This is an important course to take if you’re studying for the Google Professional Data Engineer exam.

To get the most from this course, you should have experience with BigQuery. If you’re not familiar with it, then I recommend taking my “Introduction to Google BigQuery” course.

This is a hands-on course with lots of demonstrations. I recommend that you try performing these tasks yourself. Although you only need a regular Google account to use Data Studio, you’ll need a Google Cloud Platform account if you want to visualize BigQuery data, which we’re going to do in this course. If you don’t already have a GCP account, then you can sign up for a free trial.

Data Studio is a web-based application for creating reports and dashboards. It’s an easy-to-use tool for displaying your data visually.

In this course, we’ll start by diving right in and creating a report. Next, I’ll show you how to connect a report to a dataset in BigQuery. In the process, you’ll learn about caching.

Then we’ll go over how to share a report, give different levels of access, and use templates. And finally, I’ll explain the differences between Data Studio and Cloud Datalab, another Google tool that can be used for data visualization.

By the end of this course, you should be able to create a report in Data Studio, connect a Data Studio report to a BigQuery dataset, share a Data Studio report with appropriate levels of access, and explain the differences between Data Studio and Cloud Datalab.

We’d love to get your feedback on this course, so please let us know what you think on the Comments tab below or by emailing support@cloudacademy.com.

Now, if you’re ready to learn how to get the most out of Google Data Studio, then let’s get started.