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
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corrections as they become available. See inside book for details.
