Johns Hopkins University
Biostatistics in Public Health Specialization
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.

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Get in-depth knowledge of a subject
4.8

(2,252 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(2,252 reviews)

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

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

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Taught in English
37 practice exercises

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  • 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, Biostatistics, Statistical Methods, Probability Distribution, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health, Epidemiology, Statistical Visualization, and Sample Size Determination

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), Biostatistics, Public Health, Scientific Methods, and Quantitative Research

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, Probability & Statistics, Epidemiology, Biostatistics, Data Analysis, Statistical Inference, Public Health, 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, Advanced Analytics, Predictive Modeling, Statistical Methods, Data Analysis, Biostatistics, Probability & Statistics, and Public Health

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Instructor

John McGready, PhD, MS
Johns Hopkins University
6 Courses98,771 learners

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