Before you work with data, you must confirm that it is unbiased and credible. After all, if you start your analysis with unreliable data, you won’t be able to trust your results. In this course, you will learn to identify bias in data and to ensure your data is credible. You’ll also explore open data and the importance of data ethics and data privacy.
Data Responsibility
Data Responsibility
This course is part of Google Data-Driven Decision Making Specialization
Instructor: Google Career Certificates
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Beginner level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Discuss the difference between biased and unbiased data.
Discuss characteristics of credible sources of data including reference to untidy data
Explain the relationship between data ethics and data privacy
Demonstrate an awareness of the accessibility issues associated with open data
Details to know
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Assessments
6 assignments
Taught in English
Recently updated!
September 2025
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This course is part of the Google Data-Driven Decision Making Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
As a data analyst, it is important to understand why reaching conclusions on biased data can have real-world effects. In this part of the course, you'll learn what bias is, how it affects data, the types of bias, and how to spot it.
What's included
4 videos1 reading1 assignment
In this part of the course, you will learn to identify bias in data and to ensure your data is credible.
What's included
2 videos1 assignment
You’ll explore the importance of data ethics and data privacy.
What's included
4 videos1 reading1 assignment
In this part of the course, you'll explore and understand open data.
What's included
2 videos2 readings3 assignments
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