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Revolution Newsletters Issue 46 December 2013
Welcome to the December edition of the Revolution Analytics newsletter. 2013 has been a very good year for Revolution Analytics and we hope for you as well. In this newsletter we are wrapping up the year and giving you a preview of our Q1 2014 training and events. We also have a special message for all of you from our CEO, David Rich.
Happy Holidays to all of you and we will be back with more in 2014.
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Every month, we bring you the latest news about Revolution's products and events in this section. Follow us on Twitter at @RevolutionR or subscribe to our company page on LinkedIn for up-to-the-minute news and updates from Revolution Analytics!
Did you miss our latest webinar?
14 for '14: 14 Analytics Predictions for 2014
Hosted by Alteryx, five industry experts shared 14 analytics predictions for 2014. The panel included Paul Ross (Alteryx), Charles Zedlewski (Cloudera), Rick Schultz (Alteryx), Ellie Fields (Tableau) and Michele Chambers (Revolution Analytics).
Revolution Analytics in the News:
How Big Data Helps - and Hurts - League of Legends Players,
By Jason Johnson, November 20, 2013, Kill Screen
Making Analytics Pay in the Enterprise
By By Louis Columbus, November 8, 2013, Business2Community
60+ R resources to improve your data skills
By Sharon Machlis, November 7, 2013, Computerworld
Slicing the Big Data Analytics Stack
By By Nicole Hemsoth, November 25, 2013, Datanami
The Revolution Analytics perspective on Big Data | #BigDataNYC
By By Maria Deutscher, December 1, 2013, SiliconANGLE
The Right Skills for Big Data Jobs
By Sue Poremba, December 4, 2013, Forbes
Revolution Analytics: Deriving Greater Meaning from Critical Data
By Robert Scoble, December 4, 2013
Trend Setting Products in Data Analytics for 2014
By Joyce Wells, December 2nd, 2013, Database Trends and Applications
Who’s Who in Advanced Analytics (subscription required)
By Lisa Kart, Alexander Linden, Gareth Herschel, November 22, 2013, Gartner
Big Data Predictions for 2014
By Daniel Gutierrez, December 9, 2013, Inside Big Data
Scalable Cross-Platform R-Based Predictive Analytics - BrightTalk Webinar, December 12, 2013, 11:00 AM PST
In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms. Using the knowledge gleaned from data exploration, we will create transformations to clean our data and prepare it for model building. Next, we will establish a prediction baseline by performing linear regression. Then we will apply a state-of-the-art black box algorithm, Ensembles of Decision Trees, to push prediction to the limit. Finally, we will use this high quality ensemble model to score new data, completing the prediction workflow.We will discover how to perform these steps scalably using an R-based tool across a wide range of platforms: Windows and Linux laptops and workstations, multicore servers, Hadoop and MPI clusters, and massively parallel databases.
Strata Conference: Making data work - Santa Clara, CA - February 11-13, 2014
Strata delivers the nuts-and-bolts foundation for building a data-driven business—in three full days of inspiring keynotes, practical and information-rich sessions, an expo hall with key players and products.
Gartner Business Intelligence & Analytics Summit - Las Vegas, NV - March 31-Apr 2, 2014
Gartner BI & Analytics Summit 2014 gives you the information you need to apply new BI and analytics technologies to your company to improve performance management, generate new revenue and drive progress toward business goals. The Summit will provide you with actionable insight on big data, on leadership and in making the business case for analytics — insight that you can implement immediately back at the office.
Big Data Analytics with Revolution R Enterprise - January 16th, 2014
This course is designed for R users who have mastered the basics of R and are interested in learning how to take advantage of the capabilities of ScaleR for high performance analytics on datasets that exceed the normal physical memory limits of R. The class uses a combination of lecture and labs to instruct students on how to effectively use and script ScaleR functions for big data analyses. In addition, students will learn how to visualize the results of ScaleR analyses through use of graphics packages.
Introduction to R for SAS, SPSS and Stata Users - January 13-15, 2014
R is free and powerful software for data analysis and graphics. However, its flexible approach is so different from other software that it can be frustrating to learn. This 8-hour workshop introduces R in a way that takes advantage of what you already know. For many topics we will begin with add-on commands that work similarly to your current software. Then we will cover R’s built-in commands that provide simpler but more flexible output. This course is taught by Bob Muenchen, author of R for SAS and SPSS Users, and, with Joseph Hilbe, R for Stata Users.
Featured Archive Video:
While you are out and about doing your holiday shopping, give some thought to how retailers are using the data that your activities are providing them - or you could watch our video, Survival Analysis for Marketing Attribution instead.
The new RFacebook package makes it possible to download and analyze your Facebook social network.
Joseph Rickert surveys the available packages for Bayesian analysis with R.
A Princeton University guide translates common Stata commands into R code.
The Human Rights Data Analysis Group uses R to estimate the number of casualties in Syria.
An analysis of World Series Baseball strikeout rates using R.
Data Scientists coming from computer science backgrounds can learn from the small-data techniques of Statistics — even with Big Data.
Upcoming R User Group Events
Every month, we highlight some upcoming events from the R Community Calendar.
- December 11: LondonR will host an R coding “dojo”.
- December 11: Dublin R will host a workshop on Time Series Analysis.
- December 11: The R Matlab Users will hold a LiveStream online meeting to discuss five key facts that drive the profitability of algorithmic trading.
- December 11: The New York Open Statistical Programming Group will learn about “The Web According to Emerson (getting started with Shiny and More)”.
- December 11: The Seattle useR Group will look at Quantitative Finance with R.
- December 12: The conference V Jornadas de Usuarios de R begins in Zaragoza, Spain
- December 12: The Montreal useR Group will receive an “Introduction to rOpenSci”
- December 12: The Greater Boston useR Group will see how to visualize R analyses with Tableau and Weave.
- December 12: The R Users Group of Gainesville will hold their end of year meetup.
- December 12: The Santa Barbara R Users Group will learn how to mine Twitter data with R and Hadoop and look at Travel Routing with R.
- December 13: The Munich useR Group will celebrate Christmas by hosting a special cross-meetup with groups focused on MongoDB, Hadoop, R, Cloud and Lightweight JAVA to talk about Big Data.
- December 13: The Koln R User Group will talk about R and databases and the book: “Datendesign mit R”.
- December 16: The R Matlab Users will look at demos of real-time charting and the C# TWS library with Interactive Brokers for automated trading systems.
- December 16: The Wellington R Users Group (WRUG) will discuss the advantages of knitr and Sweave.
- December 17: Dublin R will meet.
- December 18: R User Group - Singapore (RUGS) will look at practical examples of Shiny and see how to extend Shiny.
- December 19: R Matlab Users will have a look at databases like MySQL and SQL Server for automated trading systems.
- December 19: The Twin Cities R user Group (TCRUG) will listen to a talk by Danny Kaplan about his experience teaching Statistics with R at Macalester College.
- December 21: The New Delhi UseR Group will mark their one year anniversary considering how to better evangelize and teach R.
- January 4: The Kansas City R Users Group will hear a series of short presentations on various topics including colors in R and wavelets.
- January 7: The Knoxville R Users Group (KRUG) will learn about Elastic-R
Revolution Analytics sponsored more than 60 local R user groups in 2013, and is now taking sponsorship applications for 2014.
Please let us know if we're missing your R user group. If you're interested in starting a local R user group in your area, Revolution Analytics offers sponsorships for both new and established groups—and has published some tips for starting a new R user group.
Interested in joining Revolution Analytics? We're hiring, so check out our careers page! www.revolutionanalytics.com/careers