Modern Data Science With R

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Modern Data Science With RISBN13:9780367191498ISBN10:0367191490Author:Baumer, Benjamin S. (Author), Kaplan, Daniel T. (Author), Horton, Nicholas J. (Author)Description:From A Review Of The First Edition: Modern Data Science With R Is Rich With Examples And Is Guided By A Strong Narrative Voice What's More, It Presents An Organizing Framework That Makes A Convincing Argument That Data Science Is A Course Distinct From Applied Statistics (The American Statistician) Modern Data Science With R Is A Comprehensive Data Science Textbook For Undergraduates That Incorporates Statistical And Computational Thinking To Solve Real-World Data Problems Rather Than Focus Exclusively On Case Studies Or Programming Syntax, This Book Illustrates How Statistical Programming In The State-Of-The-Art Rrstudio Computing Environment Can Be Leveraged To Extract Meaningful Information From A Variety Of Data In The Service Of Addressing Compelling Questions The Second Edition Is Updated To Reflect The Growing Influence Of The Tidyverse Set Of Packages All Code In The Book Has Been Revised And Styled To Be More Readable And Easier To Understand New Functionality From Packages Like Sf, Purrr, Tidymodels, And Tidytext Is Now Integrated Into The Text All Chapters Have Been Revised, And Several Have Been Split, Re-Organized, Or Re-Imagined To Meet The Shifting Landscape Of Best Practice Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2021-03-12Weight:0 lbsDimensions:Number of Pages:673Language:English

Price: 115.81 USD

Location: USA

End Time: 2024-02-18T05:13:57.000Z

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