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Learner Reviews & Feedback for Introduction to Data Visualization using Google Data Studio by Coursera Project Network
13 ratings
About the Course
By the end of this project, you will create a dashboard for better data visualization using Google data studio. In this project, You will be able to summarize a large sheet of data and organize it in a visually appealing report. Google Data Studio provides a blank canvas where users can create single or multiple-page reports. You can easily drag and drop everything from bar, line, pie, and area charts, scatterplots, bullet graphs, and Geo maps. It allows you to customize the design of the page, to match your organization's branding and colors.
You will save time each month pulling reports which means you get to focus on actionable insights. Throughout the project, you will be able to acquire the basics of using Google Data Studio to build your dashboard, you will be able to connect Google sheets, apply dimensions, metrics and aggregation formulas. Moreover, you will be able to apply filters and ranges. Finally, you will be able to add appealing graphs and scorecards. This dashboard will help you advance in your job and stand out in your company with eye catching reports.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Top reviews
Mar 1, 2021
It is a great guided project. Easy to understand because the instructor is very helpful.
Apr 3, 2021
learned basics of data visualization through this course
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1 - 5 of 5 Reviews for Introduction to Data Visualization using Google Data Studio
By Anandhu H
•Mar 2, 2021
It is a great guided project. Easy to understand because the instructor is very helpful.
By Jose A P A
•Apr 1, 2021
Great introduction to data visualization and google data studio.
By AROCKIA A X R J
•Apr 4, 2021
learned basics of data visualization through this course
By Nageswarao R K
•Feb 18, 2021
Thank u Coursera you gave the best knowledge to us
By Jose R
•Apr 11, 2021
I like it, the problem is if you are not familizade wirh stadistic or data analysis, you are just putting numbers very nice.
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