In this course, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights.



Visualize Data
This course is part of Google Data-Driven Decision Making Specialization

Instructor: Google Career Certificates
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Recommended experience
What you'll learn
Describe the use of data visualizations to talk about data and the results of data analysis.
Describe the key concepts involved in data visualization.
Discuss accessibility issues associated with data visualization.
Explain the key concepts involved in design thinking as they relate to data visualization.
Skills you'll gain
Details to know

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September 2025
5 assignments
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There are 3 modules in this course
In this module, you’ll explore the various types of data visualizations and understand what makes an effective visualization. You will understand the importance of data visualization. You will recognize the difference between correlation and causation and acquire tips for powerful visualizations.
What's included
4 videos6 readings2 assignments
In this module, you’ll explore the principles of design thinking, and other factors that will help you use data visualizations to effectively communicate data insights. You will recognize the impact of data visualization and acknowledge the beauty of data.
What's included
3 videos3 readings1 assignment
In this module, you’ll learn about accessibility and design thinking and pro tips for highlighting key information. You will also explore strategies for designing a chart and create your own visualization.
What's included
2 videos2 readings2 assignments
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Frequently asked questions
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
You don't need to be a math all-star to succeed in this certificate. You need to be curious and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.
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