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.
Biostatistics in Public Health Specialization
Discover new skills with 30% off courses from industry experts. Save now.
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.
Instructor: John McGready, PhD, MS
46,077 already enrolled
Included with 
Get in-depth knowledge of a subject
4.8
(2,239 reviews)
Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.8
(2,239 reviews)
Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
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
Overview
Skills you'll gain
- Public Health
- Descriptive Statistics
- Statistics
- Regression Analysis
- Epidemiology
- Probability Distribution
- Statistical Methods
- Scientific Methods
- Statistical Inference
- Biostatistics
- Sampling (Statistics)
- Statistical Visualization
- Medical Science and Research
- Data Literacy
- Data Analysis
- Statistical Analysis
- Quantitative Research
- Probability & Statistics
- Advanced Analytics
- Statistical Hypothesis Testing
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
37 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Johns Hopkins University
Specialization - 4 course series
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
Category: Biostatistics
Category: Statistical Methods
Category: Descriptive Statistics
Category: Probability Distribution
Category: Sample Size Determination
Category: Epidemiology
Category: Quantitative Research
Category: Statistical Visualization
Category: Data Literacy
Category: Clinical Trials
Category: Medical Science and Research
Category: Public Health
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
Category: Statistical Hypothesis Testing
Category: Sampling (Statistics)
Category: Medical Science and Research
Category: Quantitative Research
Category: Biostatistics
Category: Public Health
Category: Scientific Methods
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
Category: Statistical Analysis
Category: Statistical Methods
Category: Statistical Inference
Category: Probability & Statistics
Category: Quantitative Research
Category: Public Health
Category: Data Analysis
Category: Epidemiology
Category: Biostatistics
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
Category: Statistical Modeling
Category: Statistical Analysis
Category: Statistical Inference
Category: Advanced Analytics
Category: Biostatistics
Category: Data Analysis
Category: Statistical Methods
Category: Predictive Modeling
Category: Probability & Statistics
Category: Public Health
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
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
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.
More questions
Financial aid available,