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Clinical R Programming

R Programming, an open-source tool, which is extensively used for data analysis in universities. Professors and researchers in the field of medicine use R for quantitative analysis. Google and Facebook use R Programming for data exploration, model prototyping, and predictive analytics.

Who can Learn:

  • Pharmacy (M. Pharm., B.Pharm.,)
  • Life sciences (M.Sc., Ph.D. – Biotechnology, Bioinformatics, Microbiology)
  • SAS Programmers / Biostatisticians / Data Science professionals
  • Life Science Students / Researchers / Faculties in colleges

Course Outline:

  • Introduction to R
  • Basics of R Data
  • Structures Reading
  • Data in R
  • Writing R Functions
  • Control Statements
  • Loops
  • Group Manipulation
  • Data Reshaping
  • Manipulating Strings
  • Probability Distributions
  • Basic Statistics
  • R Graphics
  • Report Generation

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