|Sent on:||Wednesday, April 18, 2012 4:02 PM|
Hallo nochmal allerseits…
tut mir leid, dass ich Euch noch mal mit einer mail belästigen muss:
diese Mail hab ich von Revolution bekommen, es sind Webinarankündigungen, bzw. links zu slides. Vielleicht ist ja für den ein oder anderen etwas interessantes dabei.
Here is some information about Revolution’s upcoming, Spring webinar series that may be of interest
to your R user group members. Would you please email this to everyone on your list?
Hope all is well.
REVOLUTION ANALYTICS 2012 SPRING WEBINAR SERIES
Hello! Revolution Analytics would like to invite you to attend our 2012 Spring Webinar Series for Analytics Innovators. We're proud to begin our series with "How Big Data is Changing Retail Marketing Analytics" presented by John Wallace, Founder & CEO and Brandon Mason, CTO of UpStream on Wednesday, April 25th. See below for our full webinar calendar. We hope you'll be able to attend!
How Big Data is Changing Retail Marketing Analytics
Smart retailers are using advanced revenue attribution and customer-level response modeling to optimize their marketing spends. This new technique pioneered by Upstream Software employs survival analysis on retail data, with a strong emphasis on time to event modeling. By attending this session you will gain insight into the changing world of retail analytics.
As part of the session, Upstream will cover the types of data utilized and how Revolution R and Hadoop were deployed to solve the problem. Insight into scoring systems that leverage this attribution work, which help turn a historic reporting tool into a forward looking planning tool will also be covered, which will help underscore the value of a commercial grade scoring system while maintaining control of your models.
This session will cover:
- Retail analytics with R – how to optimize retail spend using Big Data
- Survival analysis for marketing using R
- Commercial grade scoring systems for R models
- Revolution R/Hadoop integration
Presenters: John Wallace, Founder & CEO, UpStream & Brandon Mason, CTO, UpStream
Date: Wednesday, April 25th
Time: 11AM - 12PM Pacific Time
Click below for the webinar time in your local time zone:
Register Here: http://info.revolutionanalytics.com/how-big-data-is-changing-retail-marketing-analytics.html
Date: Wednesday, May 2, 2012
Time: 11:00AM - 12:00PM PT
R + Hadoop = Big Data Analytics
RHadoop is an open source project spearheaded by Revolution Analytics to grant data scientists access to Hadoop’s scalability from their favorite language, R. It allows users to write general MapReduce programs, offering the full power and ecosystem of an existing, established programming language. In this webinar, lead developer Antonio Piccolboni will provide a brief introduction to Hadoop and R. He will describe how rmr allows R developers to program in the MapReduce framework, and provides for all developers an alternative way to implement MapReduce programs that strikes a delicate compromise between power and usability.
Date: Tuesday, May 8, 2012
Time: 11:00AM - 12:00PM PT
Calling All Data Scientists and Web Developers! Integrate Your Advanced Analytics into BI Apps and MS Office and Multiply Their Value
Advanced analytics is increasingly moving out of “research” and into “operations.” Teams of statistical experts – data scientists – are at the center of decision-making ecosystems where the purpose is to save money, reduce risk or increase revenue or customer loyalty. Join this webinar and learn how integrating advanced analytics into BI applications or MS Office (Excel, PowerPoint), trading models, risk models, recommendation engines, clinical efficacy analyses and visualizations empower an organization’s people and can drive systems that automate operations.
Date: Wednesday, May 30, 2012
Time: 11:00AM - 12:00PM PT
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis, Visualization and Modeling
The Institute for Statistics Education at Statistics.com offers a graduate-level certificate program in R for those who want to use the R statistical programming environment for statistical analysis, visualization and modeling. Join this webinar to learn about the structure of the certificate and available courses through the Institute, which are offered in various categories.
Date: Tuesday, June 5, 2012
Time: 10:00AM - 11:00AM PT
Introduction to R for Data Mining
We at Revolution Analytics are often asked “What is the best way to learn R?” While acknowledging that there may be as many effective learning styles as there are people we have identified three factors that greatly facilitate learning R. In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R.
Date: Wednesday, June 13, 2012
Time: 11:00AM - 12:00PM PT
Finding Meaning in Points, Areas and Surfaces: Spatial Analysis in R (http://www.revolutionanalytics.com/news-events/free-webinars/2012/spatial-analysis-in-r/)
Everything happens somewhere and spatial analysis attempts to use location as an explanatory variable. Such analysis is made complex by the very many ways we habitually record spatial location, the complexity of spatial data structures, and the wide variety of possible domain-driven questions we might ask. One option is to develop and use software for specific types of spatial data, another is to use a purpose-built geographical information system (GIS), but determined work by R enthusiasts has resulted in a multiplicity of packages in the R environment that can also be used. In this webinar, Dr. David Unwin will present three real-world examples of how spatial statistics are used, each illustrating the analysis of a particular class of spatial data (points, areas and surfaces) with a particular R package (spatstat, maptools, sp, spdep, gstat).
Date: Wednesday, June 20, 2012
Time: 10:00AM - 10:30AM PT
Revolution R Enterprise - 100% R and More
R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.
Presented Mar 28, 2012
Actuarial Analytics in R
With data analysis showing up in domains as varied as baseball, evidence-based medicine, predicting recidivism and child supportlapses, judging wine quality, credit scoring, supermarket scanner data analysis, and “genius” recommendation engines, “business analytics” is part of the zeitgeist. This is a good moment for actuaries to remember that their discipline is arguably the first – and a quarter of a millennium old – example of business analytics at work. Today, the widespread availability of sophisticated open-source statistical computing and data visualization environments provides the actuarial profession with an unprecedented opportunity to deepen its expertise as well as broaden its horizons, living up to its potential as a profession of creative and flexible data scientists.
Presented Mar 14, 2012
Models Collecting Dust? How to Transform Your Results from Interesting to Impactful
Data scientists sometimes lament, "Why can't I get anyone to use my predictions?" Great models that make accurate predictions are sometimes disconnected from organizational decision-making. This hurts the business and reduces the data scientists’ perceived value the within the organization. But it doesn't have to be this way. Leading expert James Taylor, author of Decision Management Systems: A Practical Guide to Business Rules and Predictive Analytics, has developed a practical approach you can use to improve adoption and elevate your organization. In this webinar, James will show you proven framework for putting predictive analytics to work.
Presented Feb 29, 2012
Turbo-Charge Your Analytics with IBM Netezza and Revolution R Enterprise: A Step-by-Step Approach for Acceleration and Innovation
Everyone involved in high-stakes analytics wants power, speed and flexibility regardless of the size of the data set and complexity of the analysis. Trailblazing organizations that have deployed IBM Netezza Analytics with their IBM Netezza data warehouse appliances (TwinFin) with Revolution R Enterprise are getting all three. Register for this webinar to find out how.
Presented Mar 6, 2012
Using R for Analyzing Loans, Portfolios and Risk: From Academic Theory to Financial Practice
Dr. Sanjiv Das has held positions as at Citibank, Harvard University Professor and Program Director at the FDIC’s Center for Financial Research. His research relies heavily on R for analysis and decision-making. In this webinar, Dr. Das will present a mix of some of his more current and topical research that uses R-based models, and some pedagogical applications of R.
Presented Feb 8, 2012
A Backstage Tour of ggplot2 with Hadley Wickham
GGplot2 is one of R’s most popular, widely used packages. It was developed by Rice University’s Hadley Wickham. Ggplot2’s exploratory graphics capabilities are driving the use of R as a complement to legacy analytics tools such as SAS. SAS is well-regarded for its strength in data management and "production" statistics, where you know what you want to do and need to do it repeatedly. On the other hand, R is strong in data analysis and exploration in situations where figuring out what is needed is the biggest challenge. In this important way, SAS and R are strong companions.
View and download all of last year's archived webinars from the Revolution Analytics website: http://www.revolutionanalytics.com/news-events/free-webinars/.
Joseph B. Rickert
Technical Marketing Manager