• Length:
    8 Weeks
  • Effort:
    2–3 hours per week
  • Price:

    FREE
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  • Institution
  • Subject:
  • Level:
    Introductory
  • Language:
    English
  • Video Transcript:
    English

Prerequisites

None

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.

What you'll learn

Skip What you'll learn
  • Basic R Programming
  • How to create and interpret graphical summaries of data
  • Basic inferential statistics including parametric and nonparametric methods

Meet your instructors

James Graham
Associate Professor & Director, Rehabilitation Sciences PhD program
The University of Texas Medical Branch
Heidi Spratt
Associate Professor, Preventive Medicine and Community Health
The University of Texas Medical Branch

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