Question 1

What is the refund policy?

Accepted Answer

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.

Question 2

Can I just enroll in a single course?

Accepted Answer

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Question 3

Is financial aid available?

Accepted Answer

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Question 4

Can I take the course for free?

Accepted Answer

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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

Question 5

Is this course really 100% online? Do I need to attend any classes in person?

Accepted Answer

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Question 6

How long does it take to complete the Specialization?

Accepted Answer

There are four courses and a capstone project in the Data Literacy Specialization. Each course is designed to be 4 weeks of study with 2-4 hours per week of work. The capstone project should take approximately 5-7 hours to complete.

Data Literacy Specialization by Coursera

Course Features

Course Description

Module 1: Data â€“ What It Is, What We Can Do With It

Module 2: Measurement â€“ Turning Concepts into Data

Module 3: Quantifying Relationships with Regression Models

Module 4: What are the Chances? Probability and Uncertainty in Statistics

Course FAQs

What is the refund policy?

Can I just enroll in a single course?

Is financial aid available?

Can I take the course for free?

Is this course really 100% online? Do I need to attend any classes in person?

How long does it take to complete the Specialization?

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