Revolution R Enterprise allows R users to process, visualize, and model terabyte- class data sets at a fraction of the time of legacy products without requiring expensive or specialized hardware. This is an introductory course for accomplished R users to experience the functionality of Revolution R Enterprise.

We like feedback; Let us know how you experienced this course!### Chapter 1 Introduction

### Chapter 2 Data Exploration

### Chapter 3 Data Manipulation

### Chapter 4 Data Analysis

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In this chapter, we introduce the RevoScaleR package that ships with Revolution R Enterprise. We discuss the challenges associated with dealing with Big Data and how the functions and algorithms in RevoScaleR address them.

In this chapter, we introduce the RevoScaleR functions used to explore large datasets. We demonstrate how you can use these functions to summarize, cross-tabulate, and visualize variables in large datasets.

In this chapter, we introduce the RevoScaleR functions used to manipulate and transform large datasets. We demonstrate how you can use these functions to perform simple and complex transformations, and you will experiment with these via interactive exercises.

In this chapter, we introduce some of the RevoScaleR functions used to analyze large datasets. We demonstrate how you can use these functions to perform analyses such as linear and logistic regression, k-means clustering, and decision tree estimation.

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