|
Provided by: Predictive Analytics World Predictive Analytics World Workshop - R For Predictive Modeling A Hands-On IntroductionBusiness and Management Skills |
 |
Sunday, March 4, 2012 Full Day Workshop.
This full-day session at Predictive Analytics World San Francisco provides a hands-on introduction to R, the well-known open-source platform for data analysis. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer
This full-day session at Predictive Analytics World San Francisco provides a hands-on introduction to R, the well-known open-source platform for data analysis. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer
|
|
||||||||
Training
Provided by Predictive Analytics World
Predictive Analytics World Workshop - R For Predictive Modeling A Hands-On Introduction Seminar Schedule
| Location | ||||
|---|---|---|---|---|
March, 2012 | ||||
| 4th Mar | San Francisco Marriott Marquis | [Register] | ||
Predictive Analytics World Workshop - R For Predictive Modeling A Hands-On Introduction
Intended Audience: Practitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants "to turn ideas into software, quickly and faithfully."
Knowledge Level: Either hands-on experience with predictive modeling (without R) or hands-on familiarity with any programming language (other than R) is sufficient background and preparation to participate in this workshop.
Early Bird Discount Registration ends January 20, 2012.
Knowledge Level: Either hands-on experience with predictive modeling (without R) or hands-on familiarity with any programming language (other than R) is sufficient background and preparation to participate in this workshop.
Early Bird Discount Registration ends January 20, 2012.
About The Training Provider: Predictive Analytics World
Predictive Analytics World - Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to achieve two objectives:
1) Bigger wins: Strengthen the business impact of predictive analytics deployment
2) Broader capabilities: Establish new opportunities with predictive analytics
...
