# Beginning Data Science in R

PDF, ePUB

- eBook:Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
- Author:Thomas Mailund
- Edition:1 edition
- Categories:
- Data:March 13, 2017
- ISBN:1484226704
- ISBN-13:9781484226704
- Language:English
- Pages:379 pages
- Format:PDF, ePUB

**Book Description**

*Beginning Data Science in R*details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.

This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.

**What You Will Learn**

- Perform data science and analytics using statistics and the R programming language
- Visualize and explore data, including working with large data sets found in big data
- Build an R package
- Test and check your code
- Practice version control
- Profile and optimize your code

**Who This Book Is For****Those with some data science or analytics background, but not necessarily experience with the R programming language.**

**Content**

Chapter 2: Reproducible Analysis

Chapter 3: Data Manipulation

Chapter 4: Visualizing Data

Chapter 5: Working with Large Datasets

Chapter 6: Supervised Learning

Chapter 7: Unsupervised Learning

Chapter 8: More R Programming

Chapter 9: Advanced R Programming

Chapter 10: Object Oriented Programming

Chapter 11: Building an R Package

Chapter 12: Testing and Package Checking

Chapter 13: Version Control

Chapter 14: Profiling and Optimizing

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**Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist**

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