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Johns Hopkins University
Biostatistics in Public Health Specialization
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Johns Hopkins University

Biostatistics in Public Health Specialization

Build Statistical Skills for Biological Sciences. Master the tools and methods you need to analyze, interpret, and communicate biostatistical data.

John McGready, PhD, MS

Instructor: John McGready, PhD, MS

45,379 already enrolled

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4 course series
Get in-depth knowledge of a subject
4.8

(2,225 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

4 course series
Get in-depth knowledge of a subject
4.8

(2,225 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
  • About
  • Outcomes
  • Courses
  • Testimonials

What you'll learn

  • Calculate summary statistics from public health and biomedical data

  • Interpret written and visual presentations of statistical data

  • Evaluate and interpret results of various regression methods

  • Choose the most appropriate statistical method to answer your research question

Skills you'll gain

  • Statistical Hypothesis Testing
  • Scientific Methods
  • Statistical Analysis
  • Statistics
  • Biostatistics
  • Quantitative Research
  • Statistical Methods
  • Data Analysis
  • Regression Analysis
  • Medical Science and Research
  • Advanced Analytics
  • Probability Distribution

Details to know

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Taught in English

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  • Earn a career certificate from Johns Hopkins University

Specialization - 4 course series

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.

Applied Learning Project

In each course, learners will assume the role of a biostatistical consultant helping research teams review and interpret the published scientific literature. Throughout the specializations, learners will return to two important studies, one on asthma medication and another on injectable contraception, to answer the researchers' questions about the published statistical methods and results.

Summary Statistics in Public Health

Summary Statistics in Public Health

Course 1•15 hours

What you'll learn

  • Calculate continuous data measures

  • Interpret data visualizations

  • Analyze binary data

  • Analyze time to event data

Skills you'll gain

Category: Statistics
Statistics
Category: Biostatistics
Biostatistics
Category: Statistical Methods
Statistical Methods
Category: Descriptive Statistics
Descriptive Statistics
Category: Probability Distribution
Probability Distribution
Category: Statistical Visualization
Statistical Visualization
Category: Medical Science and Research
Medical Science and Research
Category: Research Design
Research Design
Category: Public Health
Public Health
Category: Sample Size Determination
Sample Size Determination
Category: Epidemiology
Epidemiology
Category: Quantitative Research
Quantitative Research
Hypothesis Testing in Public Health

Hypothesis Testing in Public Health

Course 2•19 hours

What you'll learn

  • Use statistical methods to analyze sampling distribution

  • Estimate and interpret 95% confidence intervals for single samples

  • Estimate and interpret 95% confidence intervals for two populations

  • Estimate and interpret p values for hypothesis testing

Skills you'll gain

Category: Statistical Inference
Statistical Inference
Category: Statistical Hypothesis Testing
Statistical Hypothesis Testing
Category: Sampling (Statistics)
Sampling (Statistics)
Category: Public Health
Public Health
Category: Biostatistics
Biostatistics
Category: Quantitative Research
Quantitative Research
Category: Medical Science and Research
Medical Science and Research
Category: Scientific Methods
Scientific Methods
Simple Regression Analysis in Public Health

Simple Regression Analysis in Public Health

Course 3•13 hours

What you'll learn

  • Practice simple regression methods to determine relationships between an outcome and a predictor

  • Recognize confounding in statistical analysis

  • Perform estimate adjustments

Skills you'll gain

Category: Regression Analysis
Regression Analysis
Category: Statistical Analysis
Statistical Analysis
Category: Statistical Inference
Statistical Inference
Category: Statistical Methods
Statistical Methods
Category: Biostatistics
Biostatistics
Category: Quantitative Research
Quantitative Research
Category: Epidemiology
Epidemiology
Category: Probability & Statistics
Probability & Statistics
Category: Data Analysis
Data Analysis
Category: Public Health
Public Health
Multiple Regression Analysis in Public Health

Multiple Regression Analysis in Public Health

Course 4•14 hours

What you'll learn

  • Practice multiple regression methods to determine relationships between an outcome and multiple predictors

  • Use the Spline approach for non-linear relationships with continuous predictors

  • Perform calculations with multiple predictor variables

Skills you'll gain

Category: Regression Analysis
Regression Analysis
Category: Statistical Analysis
Statistical Analysis
Category: Statistical Modeling
Statistical Modeling
Category: Probability & Statistics
Probability & Statistics
Category: Public Health
Public Health
Category: Advanced Analytics
Advanced Analytics
Category: Statistical Inference
Statistical Inference
Category: Biostatistics
Biostatistics
Category: Statistical Methods
Statistical Methods
Category: Data Analysis
Data Analysis
Category: Predictive Modeling
Predictive Modeling

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Instructor

John McGready, PhD, MS
John McGready, PhD, MS
Johns Hopkins University
6 Courses•96,647 learners

Offered by

Johns Hopkins University

Offered by

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.

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Frequently asked questions

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.

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.

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 policyOpens in a new tab.

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.

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.

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 aidOpens in a new tab.

More questions

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Financial aid available,

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