R for Data Science
Import, Tidy, Transform, Visualize, and Model Data
| Price | $33.37 - $48.54
|
| Rating |  |
| Authors | Hadley Wickham, Garrett Grolemund |
| Publisher | O'Reilly Media |
| Published | 2016 |
| Pages | 522 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1491910399 |
| ISBN-13 | 9781491910399 |
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.
Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way.
- Hadley Wickham (3 books)
- Garrett Grolemund (2 books)
5 5 1156
Similar Books
by Dan Toomey
R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide vari...
Price: $30.99 | Publisher: Packt Publishing | Release: 2014
Programming Skills for Data Science
by Michael Freeman, Joel Ross
Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience.Leading instructors Michael Fr...
Price: $40.99 | Publisher: Addison-Wesley | Release: 2018
Practical Data Science Cookbook 
by Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter...
Price: $29.99 | Publisher: Packt Publishing | Release: 2014
Beginning Mathematica and Wolfram for Data Science
by Jalil Villalobos Alva
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram l...
Price: $36.17 | Publisher: Apress | Release: 2021
by David Taieb
Thoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights.Industry expert David Taieb bridg...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Yuli Vasiliev
Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how to write Python code to obtain, transform, and analyze ...
Price: $22.74 | Publisher: No Starch Press | Release: 2022
by Tshepo Chris Nokeri
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples...
Price: $39.99 | Publisher: Apress | Release: 2021
Practical Data Science with R, 2nd Edition
by Nina Zumel, John Mount
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business...
Price: $39.99 | Publisher: Manning | Release: 2019