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Course Description

The goal of this course is to introduce biomedical research scientists to R as an analysis platform rather than a programming language. Throughout the course, emphasis will be placed on example-driven learning. Topics to be covered include: installation of R and R packages; command line R; R data types; loading data in R; manipulating data; exploring data through visualization; statistical tests; correcting for multiple comparisons; building models; and, generating publication-quality graphics. No prior programming experience is required.

INDIVIDUAL LAPTOP IS NEEDED FOR EACH CLASS.

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Learning Objectives:

  • Run R GUI and make use of command line features, including command history and help pages
  • Find and make use of the extensive libraries (R add-ons) available for analyzing biological and other forms of data
  • Load, manipulate, and combine data to make it amenable to further analyses
  • Visualize data with extensive graphics capabilities of R (including ggplot)
  • Use appropriate statistical tests on data within R that will conform to standards expected in scientific journals
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Section Title
Practical R
Type
Online Asynchronous
Dates
Oct 25, 2021 to Dec 10, 2021
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout credit (2 units) $625.00
Potential Discount(s)
Available for Credit
2 units
Instructors
  • Abhijit Dasgupta
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