Instructor:
Max Kuhn
Director,
Nonclinical Statistics, Pfizer

Workshop

Monday, May 15, 2017 in San Francisco
Two and a half hour morning workshop: 9:00-11:30am

R Bootcamp: For Newcomers to R

Intended Audience: Practitioners who wish to learn the nuts and bolts of the R language; anyone who wants "to turn ideas into software, quickly and faithfully."

Knowledge Level: Experience with handling data (e.g. spreadsheets) or hands-on familiarity with any programming language.

Workshop Description

This half-day workshop launches your tenure as a user of R, the well-known open-source platform for data analysis. The workshop stands alone as the perfect way to get started with R, or may serve to prepare for the more advanced full-day hands-on workshops, “R for Predictive Modeling”.

Designed for newcomers to the language of R, "R Bootcamp" covers the R ecosystem and core elements of the language, so you attain the foundations for becoming an R user. Topics include common tools for data import, manipulation and export. If time allows, other topics will be covered, such: as graphical systems in R (e.g. LATTICE and GGPLOT) and automated reporting.

The instructor, a leading R developer and the creator of six R packages, including CARET, a core R package that streamlines the process for creating predictive models, will guide attendees on hands-on execution with R, covering:

A working knowledge of the R system
The strengths and limitations of the R language
Core language features
The best tools for merging, processing and arranging data

Hardware: Bring Your Own Laptop

Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download.

Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.

Schedule

Price and Registration Info:

Workshop starts at 9:00am
End of the Workshop: 11:30am

Instructor

Max Kuhn, Director, Nonclinical Statistics, Pfizer

Max Kuhn is a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He has been apply models in the pharmaceutical industries for over 15 years.

He is a leading R developer and the author of several R packages including the CARET package that provides a simple and consistent interface to over 100 predictive models available in R.

Mr. Kuhn has taught courses on modeling within Pfizer and externally, including a class for the India Ministry of Information Technology.