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.
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How to Describe Data
This course is part of Understanding Data: Navigating Statistics, Science, and AI Specialization
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Instructor: Elle O'Brien
Course
Recommended experience
What you'll learn
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
Skills you'll gain
Details to know
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May 2024
5 assignments
Course
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There are 4 modules in this course
What's included
8 videos5 readings1 assignment2 discussion prompts
What's included
6 videos2 readings1 assignment1 discussion prompt
What's included
7 videos2 readings1 assignment1 discussion prompt
What's included
7 videos3 readings2 assignments1 discussion prompt
Instructor
![Elle O'Brien](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/e9/1c48e46e26412392f6db12b974bbd5/Elle-Headshot-photo.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
Offered by
Recommended if you're interested in Probability and Statistics
University of Michigan
University of Michigan
Google Cloud
Johns Hopkins University
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