Biostatistics for Big Data Applications

Provided by The University of Texas Medical Branch (UTMBx)
Introductory
See Prerequisites

Learn data analysis basics for working with biomedical big data with practical hands-on examples using R.

Course Format:Instructor-Led
Start Date:Nov 1, 2016

What you will learn

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

Overview

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.

Before you start

None
  • Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
  • Course ends: Jan 23, 2019

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