Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git

by Michael Freeman, Joel Ross

This unique guide brings together all the skills you need to get started with data science -- one of the world's fastest growing fields! Leading data science instructors Michael Freeman and Joel Ross start by guiding you through installing and configuring all the free open source software you'll need to solve professional-level data science problems. Next, they introduce key concepts, show how to work with data, and build your understanding with practical examples. You'll learn crucial R programming skills, and find easy-to-understand reference content to help you get the syntax right and troubleshoot your own code. Step by step, you'll learn through practical exercises that can be combined into complete data science projects. Everything's focused on practical application, so you can get real results, fast!
Understand the field of data science (and why it's growing so fast) Install and configure R, RStudio, git, GitHub, and VSCode Keep track of your work with Git and GitHub Use simple Markdown code to style documents for easier understanding Work with the R programming language and its objects "Wrangle" data into shape for processing Create R visualizations with ggplot and Plotly Publish with RMarkdown Build interactive applications with Shiny And much more

384 pages, Paperback

Published November 28, 2018

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