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Modern data science with R

By: Baumer, Benjamin.
Contributor(s): Kaplan, Daniel T [Co-author] | Horton, Nicholas J [Co-author].
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC texts in statistical science series.Publisher: Boca Raton CRC Press Taylor and Francis Group 2017Description: xvi, 551 p. 27 cm.ISBN: 9781498724487.Subject(s): Data mining | Big data | Mathematical statistics - data processing | R - computer program language | Data analysis - applied mathematicsDDC classification: 006.312 Summary: Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions. Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses. https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487
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Non-fiction 006.312 B2M6 (Browse shelf) Checked out 05/09/2019 195170

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487

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