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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.
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Smart Is the New Rich: If You Can't Afford It, Put It Down
A practical way to think about money today
Author and CNN veteran money correspondent Christine Romans believes we should live by three qualifiers: living within our means, living with less debt, and being less vulnerable. While some may say this is old-fashioned, today it's hard to argue with Romans' view.
... | | | | UNIX for OpenVMS Users, Third Edition (UNIX for OpenVMS Users) (HP Technologies)Since most shops rely on more than one operating system, it is critical for system administrators and managers to understand the similarities and differences between platforms, so they can easily work in both environments while taking full advantage of the tools and applications available on each. This book offers OpenVMS professionals a concise... |
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