We’ve seen so much demand for the previously-announced training courses in April and training in R in general that we’ve decided to expand them to an entire series. You can see the dates of the upcoming courses on our events page.
Yale University Assistant Professor John Emerson will lead the inaugural seminar, “An Introduction to R Using Real World Examples,” on April 22 in Microsoft’s Radio City Conference Room in New York City. Professor Emerson will examine the qualitative exploration of real-world problems as well statistical modeling, the package management system, and the interface to C/C++ and Fortran.
The second seminar titled, “High-Performance Computing with R” will be taught by REvolution Director of Engineering Services Bryan Lewis. Held at the University of Illinois at Chicago on April 23, the session will explore high-performance computing (HPC) technologies for the R language, focusing on recent significant gains in HPC-related packages for R including RMPI, SNOW, ParallelR and many more.
Both seminars will be conducted in a hands-on, classroom style setting. Computers will not be provided. Registrants are required to bring their own laptops.
We’ve seen so much demand for the previously-announced training courses in April and training in R in general that we’ve decided to expand them to an entire series. You can see the dates of the upcoming courses on our events page.
Yale University Assistant Professor John Emerson will lead the inaugural seminar, “An Introduction to R Using Real World Examples,” on April 22 in Microsoft’s Radio City Conference Room in New York City. Professor Emerson will examine the qualitative exploration of real-world problems as well statistical modeling, the package management system, and the interface to C/C++ and Fortran.
The second seminar titled, “High-Performance Computing with R” will be taught by REvolution Director of Engineering Services Bryan Lewis. Held at the University of Illinois at Chicago on April 23, the session will explore high-performance computing (HPC) technologies for the R language, focusing on recent significant gains in HPC-related packages for R including RMPI, SNOW, ParallelR and many more.
Both seminars will be conducted in a hands-on, classroom style setting. Computers will not be provided. Registrants are required to bring their own laptops.
