Google Data Studio A-Z for Data Visualization and Dashboards
Video description
This course is designed to teach you not only how to draw all types of charts in Google Data Studio but also advanced Data Studio specific features.
About This Video
Learn how to use Google Data Studio to turn your data into fully customizable informative reports and dashboards that are easy to read and share
Ample practice exercises because data visualization and Google Data Studio require practice
Downloadable …
Google Data Studio A-Z for Data Visualization and Dashboards
Video description
This course is designed to teach you not only how to draw all types of charts in Google Data Studio but also advanced Data Studio specific features.
About This Video
Learn how to use Google Data Studio to turn your data into fully customizable informative reports and dashboards that are easy to read and share
Ample practice exercises because data visualization and Google Data Studio require practice
Downloadable resources for learning Google Data Studio and data visualization
In Detail
This course covers everything you need to create insightful and dynamic reports using Google Data Studio in the professional workplace. It covers the following contents:
Theoretical concepts - This lecture covers the prerequisite understanding of key terminologies and concepts before we start to work on Google Data Studio.
All charts and tables in Data Studio - We cover all the available chart types one by one. It includes data tables, scorecards, bar charts, time series, pie charts, GeoMaps, pivot tables, and many more.
Data filter controls - This lecture covers the filtering options that can be given to the report viewers so that each viewer can filter the data and see only what s/he wants to see.
Branding the report - Branding a report is a very popular business practice and we will see how we can do it using the brand logo and brand colors.
Embedding external content - We can add videos, quizzes, feedback forms, company websites to our report.
By the end of this course, your confidence in using Google Data Studio for data visualization will soar. You'll have a thorough understanding of how to use Google Data Studio to create insightful dashboards and beautiful reports.
Who this book is for
This course is for students who wish to join the field of analytics and for working professionals looking to learn a powerful dashboarding and data visualization tool. Whether you’re new to data visualization or Google Data Studio, or you’ve made some charts and graphs using some data visualization software such as MS Excel or Tableau, this course will be great for you.
Chapter 2 : Terminologies and Theoretical Concepts for Data Studio
Data Studio Home Screen and Dataset Versus Data Source
Structure of Input Data and Dimensions Versus Metrics
Chapter 3 : Practical Part Begins Here
Opening Data Studio
Adding a Data Source
Managing Added Data Source
Chapter 4 : Charts to Highlight Numbers
Data Table
Styling Tab for Data Table
Scorecards
Chapter 5 : Charts for Comparing Categories: Bar Charts and Stacked Charts
Simple Bar and Column Chart
Stacked Column Chart
Chapter 6 : Charting Maps of a Country, Continent, or Region - GeoMaps
GeoMap
Chapter 7 : Charts to Highlight Trends: Time Series, Line, and Area Charts
Time Series
Update to Time Series Chart
Line Chart and Combo Chart
Chapter 8 : Highlighting Contribution to Total: Pie Chart and Donut Chart
Pie Chart and Donut Chart
Stacked Area Charts
Chapter 9 : Relationship Between Two or More Variables: Scatter Plots
Scatter Plots and Bubble Charts
Chapter 10 : Aggregating on Two Dimensions: Pivot Tables
Pivot Tables for Cross Tabulation
Chapter 11 : All About a Single Metric: Bullet Chart
Bullet Chart
Chapter 12 : Chart for Highlighting Hierarchy: TreeMap
TreeMaps
Chapter 13 : Branding a Report
Branding a Report: Brand Logo and Company Details
Brand Colors for Report Branding
Chapter 14 : Giving the Power to Filter Data to Viewers
Filter Controls for Viewers
Chapter 15 : Add Video, Feedback form, and More to Your Report
URL Embed to Include External Content
Chapter 16 : Sometimes Data is in Multiple Tables
Blending Data from Multiple Tables
Chapter 17 : Sharing and Collaborating on Data Studio Report
Downloading Report as PDF and Page Management
Sharing Report and Data Credentials
Sharing Report Using a Link
Scheduling Emails
Embedding Report on Website
Chapter 18 : Google BigQuery Connection
Connecting and Visualizing Data in Google BigQuery
Chapter 19 : Charting Best Practices
Highlighting Chart Message
Eliminating Distractions from the Graph
Avoiding Clutter
Avoiding the Spaghetti Plot
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