If you are interested in learning scientific, statistical and/or
general-purpose application programming using the open R language and
platform, we offer three distinct and separate, but complementary online
R programming courses for $8 USD each course (through midnight PST
September 30):
(1) Programming Statistical Applications in R;
(2) R Programming for Simulation and Monte Carlo Methods;
(3) The Comprehensive Programming in R Course.
To realize the discounted $8 USD registration cost for any course, you
need to either: (1) register manually use the discount coupon code
SEPTFOR8; or (2) access the course directly using the link provided
which automatically applies the discount.
You get lifetime access to the course materials available 24/7 on any
device, and both a 30-day money back guarantee and a Certificate of
Completion for any completed course.
(1) Programming Statistical Applications in R
https://www.udemy.com/programming-statistical-applications-in-r/?couponCode=SEPTFOR8
Programming Statistical Applications in R is an introductory course
teaching the basics of programming mathematical and statistical
applications using the R language. The course makes extensive use of the
Introduction to Scientific Programming and Simulation using R (spuRs)
package from the Comprehensive R Archive Network (CRAN). The course is a
scientific-programming foundations course and is a useful complement and
precursor to the more simulation-application oriented R Programming for
Simulation and Monte-Carlo Methods course. The two courses were
originally developed as a two-course sequence (although they do share
some exercises in common). Together, both courses provide a powerful set
of unique and useful instruction about how to create your own
mathematical and statistical functions and applications using R
software.
(2) R Programming for Simulation and Monte-Carlo Methods
https://www.udemy.com/r-programming-for-simulation-and-monte-carlo-methods/?couponCode=SEPTFOR8
R Programming for Simulation and Monte Carlo Methods focuses on using R
software to program probabilistic simulations, often called Monte Carlo
Simulations. Typical simplified "real-world" examples include simulating
the probabilities of a baseball player having a 'streak' of twenty
sequential season games with 'hits-at-bat' or estimating the likely
total number of taxicabs in a strange city when one observes a certain
sequence of numbered cabs pass a particular street corner over a 60
minute period. In addition to detailing half a dozen 'real-world'
extended example applications, the course also explains in detail how to
use existing R functions, and how to write your own R functions, to
perform simulated inference estimates, including likelihoods and
confidence intervals, and other cases of stochastic simulation.
Techniques to use R to generate different characteristics of various
families of random variables are explained in detail.
(3) The Comprehensive Programming in R Course
https://www.udemy.com/the-comprehensive-programming-in-r-course/?couponCode=SEPTFOR8
The Comprehensive Programming in R Course is a "double" course, a
combination of originally two R programming courses that together
comprise a gentle, yet thorough introduction to the practice of
general-purpose application development in the R environment. The
original first course (Sections 1-8) consists of approximately 12 hours
of video content and provides extensive example-based instruction on
details for programming R data structures. The original second course
(Sections 9-14), an additional 12 hours of video content, provides a
comprehensive overview on the most important conceptual topics for
writing efficient programs to execute in the unique R environment.
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