November 2018
Intermediate to advanced
384 pages
12h 21m
English
book
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
by Joel Ross, Michael Freeman
Overview
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
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.