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

<p><b>The Foundational Hands-On Skills You Need to Dive into Data Science</b></p> <p></p> <p></p> <p><i>"Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills."</i></p> <p>-From the foreword by Jared Lander, series editor</p> <p></p> <p></p> <p>Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. <i><b>Programming Skills for Data Science</b></i> brings together all the foundational skills you need to get started, even if you have no programming or data science experience.</p> <p> </p> <p>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.</p> <p> </p> <p>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</p> <ul> <li>Install your complete data science environment, including R and RStudio</li> <li>Manage projects efficiently, from version tracking to documentation</li> <li>Host, manage, and collaborate on data science projects with GitHub</li> <li>Master R language fundamentals: syntax, programming concepts, and data structures</li> <li>Load, format, explore, and restructure data for successful analysis</li> <li>Interact with databases and web APIs</li> <li>Master key principles for visualizing data accurately and intuitively</li> <li>Produce engaging, interactive visualizations with ggplot and other R packages</li> <li>Transform analyses into sharable documents and sites with R Markdown</li> <li>Create interactive web data science applications with Shiny</li> <li>Collaborate smoothly as part of a data science team</li> </ul> <p><i>Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.</i></p>