Doing Data Science Intro to R
Doing Data Science Intro to R by Troy Adair, published by dataDicts, LLC on September 28, 2019, is a comprehensive guide designed to help readers learn the fundamentals of using R for data science. This edition spans 350 pages and is presented in English, offering a practical, step-by-step approach that covers essential tools and concepts necessary for beginners in the field.
Readers will find detailed instructions on installing the required software and an explanation of the underlying principles of GitHub and GitKraken. The book also includes guidance on forking and cloning code from GitHub repositories, making it a valuable resource for those interested in data analytics and programming. With a focus on business and economics, statistics, and mathematics, this book serves as an accessible entry point into the world of data science.
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This book provides a practical, step-by-step approach to learning the basics you’ll need to know to get started using R. Along the way, it will guide you in installing the tools you’re going to need, will explain the intuition behind how GitHub and GitKraken work, and show you how to fork and clone other users’ code from GitHub repositories to make it your own.
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