The Q Center has provided links to online material in Statistics, including the statistical software R.

Online Materials

  • R is a powerful open source environment for statistics. RStudio is an integrated development environment that facilitates the use of R by students and instructors. An RStudio server is available for members of the Amherst community. Professor Nick Horton's website provides resources for those getting started with this system, including "A Student's Guide to R" (written by Professor Horton and others).

  • Datacamp has a free online course for learning R.

  • Project MOSAIC provides online resources for mathematics, statistics, computation, and modeling.

  • Kahn Academy offers video-instruction (on digital blackboard with voice-over) in eight areas in mathematics including probability and statistics (covers material of STAT 111 [introductory statistics]; its treatment of probability may be deeper than STAT 111, though).

  • MIT’s Open Courseware offers videotaped lectures (with captions), lecture-notes, problems, tests, and problem-solutions for many, many mathematics-courses—perhaps every mathematics-course offered at MIT.  Only a select few at the introductory level have been videotaped (e.g., multivariable calculus), but the notes and problems are a great resource whether video is available or not.