What Are Descriptive Statistics? Definition, Tools, and Jobs
December 10, 2024
Article
This course is part of Understanding Data: Navigating Statistics, Science, and AI Specialization
Instructor: Elle O'Brien
Included with
(18 reviews)
Recommended experience
Beginner level
No previous knowledge of data, statistics, or AI is necessary.
(18 reviews)
Recommended experience
Beginner level
No previous knowledge of data, statistics, or AI is necessary.
Learn the fundamentals of data interpretation, collection, and summarization
Learn the capabilities and limitations of data and discuss criteria for determining which statistics are reliable
Learn to interpret and evaluate the effectiveness of data visualizations
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How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn the fundamentals of discussing, evaluating, and presenting a wide range of data sets, as well as how data helps us make sense of the world. This is a broad overview of statistics and is designed for those with no previous experience in data analysis. With this course, you’ll be able to spot potentially misleading statistics and better interpret claims about data you encounter in the world. Course assessments focus on your understanding of concepts rather than solving math problems.
This is the first course in Understanding Data: Navigating Statistics, Science, and AI Specialization, where you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
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Reviewed on Jun 6, 2024
one of the best research-related courses on Coursera!
Reviewed on Apr 29, 2025
Excellent course! The instructor teaches very well.
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