EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials SEO Tutorial How to use Google Data Studio?
Secondary Sidebar
SEO Tutorial
  • SEO Technical Basics
    • Benefits of SEO
    • Black Hat SEO
    • Black Hat SEO Techniques
    • Internal Linking in SEO
    • Mobile SEO
    • SEO Tools
    • What is Backlink in SEO
    • What is Off-Page SEO
    • What is On-Page SEO
    • White Hat SEO
    • What is Google Analytics
    • Add Google Analytics to Wordpress
    • Google Analytics Dashboards
    • Google Analytics Interview Questions
    • Google Analytics Plugin
    • Google Analytics Tools
    • How to use Google Analytics
    • Android Google Apps For Every Blogger
    • Career In Google Adwords
    • Career In Google Maps
    • Google Now Assistant
    • Google Plus Page for Business
    • Google Wallet
    • What is Google Data Studio
    • How to use Google Data Studio
    • What is GTM
    • What is Google Cloud Platform
    • What is SERP
    • Social Media Management Tools
    • Social Media Marketing Apps
    • What is Social Media?

Related Courses

SEO Certification Course

Google Analytics Course

Business Analysis Course Training

How to use Google Data Studio?

By Priya PedamkarPriya Pedamkar

how-to-use-google-data-studio

Introduction to Google Data Studio

The following article provides an outline for How to use Google Data Studio? For beginners, this tool welcomes you to have a good understanding to build the Reports. Google’s Data Studio is for free; all it needs is logging in with Google’s credentials. Using GDS, one can perform many types of flexible Reports using charts and tables, i.e., Time series, Pie charts, Line, Area, Scatter charts. Especially if you are a Start-up or freelancer, this is the best pocket-friendly tool to pull out the Analytics in the best form and deliver the same to your end customer; this would allow you to save the project budget.

How to use Google Data Studio?

If you are wondering how to work on and use Google Data Studio, you are at the right place to go for a short trip of the step-by-step process where you will learn it easily and take back the practices to implement from your end. Usage of this tool is simple; like this, the tool is user-friendly and provides straight options to avoid confusion of switching between multiple options.

Below are the following steps:

Step 1: Ideation of Dashboard

This process requires imagining the Dashboard’s output, like how it should appear and what are KPI needed? What are the important measures to consider? Which date range are we looking into? To have a better understanding, let’s see the below sample A dashboard of “Google AdWords”, where the performance of Campaigns & Ads is measured in terms of KPI’s like Click Through Rate (CTR), Conversion Rate (CR) & Cost per Click (CPC).

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

Ideation of Dashboard

 Step 2: Gathering All the Data

After understanding the requirements, gathering and transforming the data is the main challenge. Once the data types are defined and clear about the measures & dimensions to take, it is easy to go forward as it eliminates half the burden. However, after starting a dashboard, many get stuck in importing improper datasets and end up executing half information Charts, where it doesn’t help the end customer take any actionable insights.

How to use Google Data Studio - 2

Step 3: Choosing/Create a Template

Google Data Studio provides some defaults, where Dashboards are created with the open-source. One can start with opting for any of either template and import the same for your own reference. Like in Step -1, I have shared the preview of “AdWords overview” with you the same way you can choose any of these to reduce your time and efforts as templatizing itself takes some serious time.

If you are a beginner, starting with a predefined template makes you understand how the Charts, KPI and Tables are created. Having this, you must know what properties are being used, how the blending operations are performed, and what measures are taken into filters that can be observed. All these can be done by reverse-engineering the proven dashboard by going back to each and every option & checking it.

How to use Google Data Studio - 3

Step 4: Connecting the Data Sources

Knowing what data source to connect is a basic sense; upon having that, knowing authentication logins in hands and data location eases this task, rather than connecting and searching for the data inside the searching server.

All in One Data Science Bundle(360+ Courses, 50+ projects)
Python TutorialMachine LearningAWSArtificial Intelligence
TableauR ProgrammingPowerBIDeep Learning
Price
View Courses
360+ Online Courses | 50+ projects | 1500+ Hours | Verifiable Certificates | Lifetime Access
4.7 (86,527 ratings)

Usually, Google’s data studio allows you to connect with multiple data sources, i.e., 17, but these are limited to a few important sources like:

  • File Upload from Computer
  • Google Ads
  • Attribution 360
  • Big Query
  • Cloud Spanner
  • Cloud SQL
  • Many more etc

Connecting the Data Sources

Step 5: Edit Fields/ Connection

Here, you can edit the fields by picking the required ones and can remove the unnecessary which comes by default through the connections. If at all you regret the connection, it can be edited by changing and updating to a newer one. Once you are sure everything is all set and good to go, click on Create Report.

How to use Google Data Studio - 5

Step 6: Overview and Usage of Toolbar

Once you open a blank report, this is the screen you will see, like a whiteboard with the grid lines at a lighter tone in the background. First things first, before starting any operation, you should be aware of the Toolbar or the Menu options.

Error! Filename not specified.

  • Section A: This section of the toolbar is to create a new page with the same Report. Pages can be switching from one to the other one.
  • Section B: This section will pick the pointer and Undo/Redo options available to take back or go forward to the performed action. This will be done either by going for shortcut pressing CTRL+Z for Undo and CTRL+Y for Redo.
  • Section C: This section is the most important one, where we can pick the type of chart/table/calendar/geographical and all. The chart selection can be changed at any point in time for the relevancy and convenience of the end-user. Knowing all the charts would help you to choose the most relevant one.
  • Section D: This section inserts the text boxes and images from your local computer and applies the same on the dashboard.
  • Section E: This section helps you pick the date range and set up the Dashboard filters. 

How to use Google Data Studio - 6

Step 7: Blending of the Data Sources

Blending is a concept of joining two different data sources making through a primary/foreign key. This is to provide a relation between the data sources, so those operations will be on the same page level. This technique is commonly used in Data Visualization tools like Tableau and Power BI etc.

Blending of the Data Sources

Step 8: Date Range & Filters

 This Date range option is to set up the calendar option and see the number of the active dates of data that is connected. For example, we are seeing the data between 12th Nov’19 to 11th Dec’19; like the same, we can choose the specific period to see. Another option is Filter control, where we see the types of filters on the sheet or connection; by choosing the one among them, the data is segregated.

Date Range & FiltersHow to use Google Data Studio - 9

Step 9: Formatting & Contouring

Having proper formatting like the alignment of boxes one after the other and top to the bottom, where colour combinations are considered according to the project. For example, If a Customer prefers a Blue & Black combination, going with that is a safe option.

Conclusion – How to use Google Data Studio?

Using this tool has been conveyed theoretically and practically shown over snapshots. A suggestion is to have hands-on experience, start picking sample data available online and work on a Report to get confidence over this Google Data Studio.

Recommended Articles

This is a guide to How to use Google Data Studio? Here we discuss the introduction and how to use google data studio respectively. You can also go through our other related articles to learn more –

  1. What is Google Data Studio?
  2. How to use Google Analytics?
  3. What is Google Cloud Platform
  4. What is Google AdWords?
Popular Course in this category
SEO Training (12 Courses, 6 Projects)
  12 Online Courses |  6 Hands-on Projects |  66+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

Google Analytics Training (12 Courses, 2+ Projects)4.9
Business Analysis Training - Planning Monitoring and Strategy Analysis (12 Courses, 8 Case Study/Project)4.8
2 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

SPSS, Data visualization with Python, Matplotlib Library, Seaborn Package

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more