About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 3 months to complete

Suggested 10 hours/week

English

Subtitles: English

What you will learn

  • Check

    Calculate summary statistics from public health and biomedical data

  • Check

    Interpret written and visual presentations of statistical data

  • Check

    Evaluate and interpret results of various regression methods

  • Check

    Choose the most appropriate statistical method to answer your research question

Skills you will gain

StatisticsStatistical Hypothesis Testingvariabilityregression

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 3 months to complete

Suggested 10 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Summary Statistics in Public Health

4.8
283 ratings
72 reviews
Course2

Hypothesis Testing in Public Health

4.8
112 ratings
23 reviews
Course3

Simple Regression Analysis in Public Health

4.7
63 ratings
8 reviews
Course4

Multiple Regression Analysis in Public Health

4.8
41 ratings
9 reviews

Instructor

Avatar

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

  • 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.

  • 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.

  • The specialization is structured as four 4-week courses, so it can be completed in as little as 16 weeks. However, you should plan a pace that suits your particular circumstances. None of the assignments require peer evaluation, so you can work at your own pace.

  • Mathematical ability up through and including basic algebra, including logarithms and the equation of a line

  • We strongly recommend taking the course in the order in which they are presented. The courses build on one another.

  • Johns Hopkins University does not award academic credit for completion of this specialization or any of its Coursera offerings.

  • Learners who complete the specialization will be able to perform statistical calculations and interpret data to support research in the field of public health.

More questions? Visit the Learner Help Center.