<p><strong>An Introduction to Data Science</strong> is an easy-to-read, gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using the R programming language and RStudio<sup>®</sup> from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. </p><p> </p><p>The authors cover statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. Thi
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Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book features running case using an airline business's customer survey dataset to illustrate how to turn...
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