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.
How to Describe Data
This course is part of Understanding Data: Navigating Statistics, Science, and AI Specialization
Instructor: Elle O'Brien
Included with 
(10 reviews)
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
Add to your LinkedIn profile
5 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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
Offered by
Recommended if you're interested in Probability and Statistics
Johns Hopkins University
Banco Interamericano de Desarrollo
University of Colorado Boulder
Why people choose Coursera for their career
Learner reviews
10 reviews
- 5 stars
80%
- 4 stars
10%
- 3 stars
0%
- 2 stars
0%
- 1 star
10%
Showing 3 of 10
Reviewed on Jun 6, 2024
one of the best research-related courses on Coursera!
New to Probability and Statistics? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.