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The University of Texas Medical Branch: Biostatistics for Big Data Applications

Learn data analysis basics for working with biomedical big data with practical hands-on examples using R.
Biostatistics for Big Data Applications
8 weeks
2–3 hours per week
Progress at your own speed

About this course

Skip About this course

This course provides a broad foundation of statistical terms and concepts as well as an introduction to the R statistical software package. The topics covered are fundamental components of biostatistical methods used in both omics and population health research.

Working with biomedical big data presents many challenges; familiarity with common statistical terms and definitions, and understanding basic statistical theory will help you overcome those challenges.

Topic-specific information and examples will be followed by self-assessment opportunities for you to gauge your understanding. In addition, practice datasets and exercises will be provided for you to improve your R programming skills.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills: Statistical Software, Data Analysis, Big Data, Statistical Theory, Population Health, Biostatistics

What you'll learn

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  • Basic R Programming
  • How to create and interpret graphical summaries of data
  • Basic inferential statistics including parametric and nonparametric methods

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