Programming Skills for Data Science: Start Writing Code to Wrangle,Analyze,and Visualize Data with R

Programming Skills for Data Science: Start Writing Code to Wrangle,Analyze,and Visualize Data with R (Addison-Wesley Data & Analytics Series)
Authors: Michael Freeman – Joel Ross
ISBN-10: 0135133106
ISBN-13: 9780135133101
Edition 版本:‏ 1
Released: 2018-11-29
Print Length 页数: 384 pages
The Foundational Hands-On Skills You Need to Dive into Data Science
“Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.”
–From the foreword by Jared Lander,series editor
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 Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems,including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used,analyzed,and visualized so others can see the patterns you’ve uncovered. Step by step,you’ll master powerful R programming techniques and troubleshooting skills for probing data in new ways,and at larger scales.
Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything’s focused on real-world application,so you can quickly start analyzing your own data and getting answers you can act upon. Learn to
Install your complete data science environment,including R and RStudio
Manage projects efficiently,from version tracking to documentation
Host,manage,and collaborate on data science projects with GitHub
Master R language fundamentals: syntax,programming concepts,and data structures
Load,format,explore,and restructure data for successful analysis
Interact with databases and web APIs
Master key principles for visualizing data accurately and intuitively
Produce engaging,interactive visualizations with ggplot and other R packages
Transform analyses into sharable documents and sites with R Markdown
Create interactive web data science applications with Shiny
Collaborate smoothly as part of a data science team
Cover Page
About This E-Book
Title Page
Copyright Page
Dedication Page
Contents
Foreword
Preface
Acknowledgnents
About the Authors
I Getting Started
1 Setting Up Your Computer
2 Using the Command Line
II Managing Projects
3 Version Control with git and GitHub
4Using Markdown for Documentation
III Foundational R Skil1s
5Introduction to R
6Functions
7 Vectors
8Lists
IV Data Wrangling
9 Understanding Data
10 Data Frames
11 Manipulating Data with dplyr
12 Reshaping Data with tidyr
13 Accessing Databases
14Accessing Web APIs
V Data Visualization
15 Designing Data Visualizations
16 Creating Visualizations with gplot2
17 Interactive Visualization in R
VI Building and Sharing Applications
18 Dynanic Reports with R Markdown
19 Building Interactive Web Applications with Shiny
20 Working Collaboratively
21 Moving Forward
Index
Credits
Code Snippets