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
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
Included with 
Get in-depth knowledge of a subject
(2,250 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
(2,250 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
- Probability & Statistics
- Regression Analysis
- Statistical Methods
- Statistics
- Epidemiology
- Biostatistics
- Public Health
- Probability Distribution
- Statistical Modeling
- Statistical Analysis
- Scientific Methods
- Data Analysis
- Statistical Inference
- Quantitative Research
- Statistical Hypothesis Testing
- Statistical Visualization
- Sampling (Statistics)
- Data Literacy
- Medical Science and Research
- Descriptive Statistics
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
Statistics, Descriptive Statistics, Statistical Methods, Biostatistics, Probability Distribution, Medical Science and Research, Statistical Visualization, Data Literacy, Epidemiology, Sample Size Determination, Public Health, Quantitative Research, and Clinical Trials
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
Statistical Inference, Statistical Hypothesis Testing, Sampling (Statistics), Scientific Methods, Biostatistics, Quantitative Research, and Public Health
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
Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Methods, Data Analysis, Probability & Statistics, Epidemiology, Public Health, Statistical Inference, Biostatistics, and Quantitative Research
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
Regression Analysis, Statistical Analysis, Statistical Modeling, Biostatistics, Data Analysis, Public Health, Advanced Analytics, Statistical Methods, Probability & Statistics, and Predictive Modeling
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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.
More questions
Financial aid available,