||3 of 3 people found the following review helpful.| great book, but not for beginners|By Maike Holthuijzen|I am working on an MS in statistics and started working through this book. The examples are good and provide step-by-step guidance, BUT this book is not for beginners. If you have at least an intermediate knowledge of R and some statistics background, you can follow the book, and if you are like me, find it quite useful! I|About the Author||Deborah Nolan holds the Zaffaroni Family Chair in Undergraduate Education at the University of California, Berkeley. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her res
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. [PDF.go20] Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series) Rating: 4.97 (516 Votes)
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You easily download any file type for your device.Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series) | Deborah Nolan, Duncan Temple Lang. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
