Microsoft R Webinars
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Data Preparation with R
Thursday, March 17, 2016 10:00 AM - 11:00 AM PT

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Data quality is the single most important item to the success of your data science project. Preparing data for analysis is one of the most important, laborious and yet, neglected aspects of data science. Many of the routine steps can be automated in a principled manner. This webinar will lay out the statisitcal fundamentals of preparing data. Our speaker, Nina Zumel, principal consultant and co-founder of Win-Vector, LLC, will cover what goes wrong with data and how you can detect the problems and fix them.

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ARCHIVED WEBINARS


Using Microsoft R Server to Operationalize your Analytics
Presented February 25, 2016

R is the world’s most widely used programming language for data analysis. However, as a relatively specialized language, one common pain point in the enterprise is how to translate the analytics from the data scientist to production. In this webinar, Jamie Olson, Senior Data Scientist at Microsoft, will discuss how Microsoft R Server can be used to facilitate the operationalization of analytics solutions. He will walk through a use-case that demonstrates how Microsoft R Server can be used in operationalization, and will discuss best practices around such procedures.

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Best Practices for using Microsoft R Server with Hadoop
Presented February 18, 2016

R is the world’s most widely used programming language for data analysis, and Hadoop is a fast growing infrastructure for storing and manipulating extremely large datasets. In this webinar, Jamie Olson, Senior Data Scientist at Microsoft, will discuss how Microsoft R Server can be used with Hadoop, and will discuss several best practices around using both in conjunction. These topics will include best practices around installation, software updates, and data manipulation and analysis.

Click here to view the on-demand webinar: Best Practices for using Microsoft R Server with Hadoop


Using Microsoft R Server to Address Scalability Issues in R
Presented February 4, 2016

R is the world’s most widely-used programming language for data analysis. Despite its popularity, there are several constraints with leveraging open source R with enterprise-class datasets. In this 50-minute webinar, Derek Norton, Senior Data Scientist at Microsoft, will introduce the issues posed by open source R, and will walk through a use case that demonstrates how Microsoft R Server addresses each of the gaps associated with analyzing enterprise-class datasets with R.

Audience: R users that have run into memory issues.

Classification: Intermediate (Assumes R Knowledge)

Why you should attend: Open source R is a great tool for analytics, but it doesn’t take much data to run into the dreaded out of memory error.  This webinar will provide detail on how to avoid those errors.

Click here to view the on-demand webinar: Using Microsoft R Server to Address Scalability Issues in R


Data Mining with Microsoft R Server
Presented February 11, 2016

R is the world’s most widely used programming language for data analysis. The R ecosystem provides thousands of external libraries that can facilitate the transition from dataset to actionable insight. In this webinar, Derek Norton, Senior Data Scientist at Microsoft, will introduce the data mining capabilities of Microsoft R Server. He will use a use case to walk through how these capabilities allow data mining on enterprise-scale datasets, and how these capabilities can be easily migrated across different data platforms.

Audience: R users that want to carry out analytics at scale.

Classification: Intermediate (Assumes R Knowledge as well as a basic understanding of analytic techniques)

Why join us: With a basic understanding of how Microsoft R Server can help with scalability issues, the question of “What now?” comes up. This webinar will show how you can leverage the parallelism and scalability of Microsoft R Server to explore, model, and predict using your data regardless of size.

Click here to view the on-demand webinar: Data Mining with Microsoft R Server


Introduction to Microsoft R Open
Presented, January 28, 2016 by David Smith

Data Science is a strategic initiative for most companies today, who seek to understand the wealth of data now available to them to understand patterns, make forcecasts, and build data-driven products and process. The open-source R language is the lingua franca of data science, and ranked #6 in popularity amongst all languages by the IEEE. If you haven’t yet learned what R is all about, this webinar will bring you up to speed on the history of the R language, how it’s used, and why it’s so popular for developing advanced analytics applications.

In this 50-minute webinar, David Smith, R Community Lead at Microsoft, will introduce the R language and community, and give examples of R in action. In the webinar, David will demonstrate Microsoft R Open, Microsoft’s enhanced distribution of open-source R. He will also cover the enhancements included in Microsoft R Open, including enhanced performance, features for reproducible programming in R, and the new CRAN Time Machine for reproducible data analysis with R packages.

Click here to view the archived webinar "Introduction to Microsoft R Open"