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2012 Winter Webinar Series
Hello! Revolution Analytics would like to invite you to attend our 2012 Winter Webinar Series for Analytics Innovators. We're proud to present six live presentations beginning with "A Backstage Tour of ggplot2 with Hadley Wickham" on February 22nd. See below for our full webinar calendar. We hope you'll be able to attend!
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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, who is also on the core development group for the R Open Source Project. 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.
This webinar will provide an all-access pass to Hadley’s latest work. He’ll discuss:
- A brief overview of ggplot2, and how it's different to other plotting systems
- A sneak peek at some of the new features coming to the next version of ggplot2
- What’s been learned about good development practices in the 5 years since first starting to develop ggplot
- Some of the internals of ggplot2, and talk about how he is gradually making it easier for others to contribute
Join this webinar to understand how ggplot2 adds valuable, unmatched capabilities to your analytics toolbox.
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![Presenter]() |
Hadley Wickham
Professor of Statistics, Rice University |
![Date]() |
Wednesday, February 8, 2012 |
![Time]() |
11:00AM - 12:00PM Pacific
Click here for the webinar time in your local time zone |
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Wed, Feb 8th
11:00AM - 12:00PM PT |
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, who is also on the core development group for the R Open Source Project. 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.
This webinar will provide an all-access pass to Hadley’s latest work. |
Wed, Feb 22nd
11:00AM - 11:30AM PT
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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.
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Wed, Feb 29th
11:00AM - 12:00PM PT
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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.
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Tue, Mar 6th
10:00AM - 11:00AM PT
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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.
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Wed, Mar 14th
10:00AM - 11:00AM PT
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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.
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Wed, Mar 28th
11:00AM - 12:00PM PT
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Actuarial Analytics in R
With data analysis showing up in domains as varied as baseball, evidence-based medicine, predicting recidivism and child support lapses, 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.
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| Presented Dec 20 |
Big Data Analysis Starts with R
30-minute executive Webinar to find out how companies of all types and sizes can integrate “R” into their “big data” analytics infrastructure strategy.
- An overview of the Open Source “R,” language, and why it’s become the de-facto standard for statistical computing;
- How ‘Big Data’ requires R’s ‘Big Analytics’ capabilities, including leveraging the new breed of popular data sources—such as Hadoop, NoSQL, and in-database data warehouses;
- Use cases and implementation scenarios that share best practices for integrating R into your corporate analytics projects.
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| Presented Dec 14 |
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.
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| Presented Nov 17 |
New Features in Revolution R Enterprise 5.0 (including RevoScaleR) to Support Scalable Data Analysis
Revolution R Enterprise 5.0 is Revolution Analytics’ scalable analytics platform. At its core is Revolution Analytics’ enhanced Distribution of R, the world’s most widely-used project for statistical computing. In this webinar, Dr. Ranney will discuss new features and show examples of the new functionality, which extend the platform’s usability, integration and scalability.
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| View and download all of last year's archived webinars from the Revolution Analytics website.
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| Revolution Analytics 101 University Ave, Suite 300, Palo Alto, CA 94301. 1-855-GET-REVO / +1 650 646 9545 |
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