Learn data analysis basics for working with biomedical big data with practical hands-on examples using R. 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.
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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.
What you'll learn:
- Basic R Programming
- How to create and interpret graphical summaries of data
- Basic inferential statistics including parametric and nonparametric methods
