Stanford Center for Professional Development

Programming Fundamentals (Foundations for Data Science)

Available dates

On demand
USD 129


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About the course

R is a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman.

Topics Include

  • Working with data types and variables
  • Vectors, matrices, lists, and data frames
  • Data import
  • Logical statements: loops, repeats, and functions
  • Data plotting and visualization
  • Introduction to basic statistical functions and packages

Trust the experts

Susan Holmes

Trained in the French school of Data Analysis in Montpellier, Susan Holmes has been working in non parametric multivariate statistics applied to Biology since 1985. She has taught at MIT, Harvard and was an Associate Professor of Biometry at Cornell before moving to Stanford in 1998. She teaches ...


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