LEADER 00000cam a2200577 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    181128s2019    maua    ob    001 0 eng d 
020    9780135159071 
020    0135159075 
029 1  AU@|b000069006053 
035    (OCoLC)1076490735 
037    CL0501000008|bSafari Books Online 
040    UMI|beng|erda|epn|cUMI|dTOH|dOCLCF|dG3B|dSTF|dUKAHL|dWAU
       |dOCLCO|dCZL|dOCLCQ|dOCLCO|dOCLCQ|dOCLCO|dOCLCL 
049    INap 
082 04 519.502855133 
082 04 519.502855133|qOCoLC|223/eng/20230216 
099    eBook O'Reilly for Public Libraries 
100 1  Freeman, Michael|q(Michael K.),|eauthor.|1https://
       id.oclc.org/worldcat/entity/E39PCjt4gwvMbyMDbTTVKyWdQq 
245 10 Programming skills for data science :|bstart writing code 
       to wrangle, analyze, and visualize data with R /|cMichael 
       Freeman, Joel Ross.|h[O'Reilly electronic resource] 
246 30 Start writing code to wrangle, analyze, and visualize data
       with R 
264  1 Boston :|bAddison-Wesley,|c[2019] 
264  4 |c©2019 
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Addison Wesley data & analytics series 
504    Includes bibliographical references and index. 
520    The Foundational Hands-On Skills You Need to Dive into 
       Data Science "Freeman and Ross have created the definitive
       resource for new and aspiring data scientists to learn 
       foundational programming skills."--The foreword by Jared 
       Lander, series editor Using data science techniques, you 
       can transform raw data into actionable insights for 
       domains ranging from urban planning to precision medicine.
       Programming Skills for Data Science brings together all 
       the foundational skills you need to get started, even if 
       you have no programming or data science experience. 
       Leading instructors Michael Freeman and Joel Ross guide 
       you through installing and configuring the tools you need 
       to solve professional-level data science problems, 
       including the widely used R language and Git version-
       control system. They explain how to wrangle your data into
       a form where it can be easily used, analyzed, and 
       visualized so others can see the patterns you've 
       uncovered. Step by step, you'll master powerful R 
       programming techniques and troubleshooting skills for 
       probing data in new ways, and at larger scales. Freeman 
       and Ross teach through practical examples and exercises 
       that can be combined into complete data science projects. 
       Everything's focused on real-world application, so you can
       quickly start analyzing your own data and getting answers 
       you can act upon. Learn to Install your complete data 
       science environment, including R and RStudio Manage 
       projects efficiently, from version tracking to 
       documentation Host, manage, and collaborate on data 
       science projects with GitHub Master R language 
       fundamentals: syntax, programming concepts, and data 
       structures Load, format, explore, and restructure data for
       successful analysis Interact with databases and web APIs 
       Master key principles for visualizing data accurately and 
       intuitively Produce engaging, interactive visualizations 
       with ggplot and other R packages Transform analyses into 
       sharable documents and sites with R Markdown Create 
       interactive web data science applications with Shiny 
       Collaborate smoothly as part of a data science team 
       Register your book for convenient access to downloads, 
       updates, and/or corrections as they become available. See 
       inside book for details 
588 0  Online resource; title from title page (Safari, viewed 
       November 28, 2018). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 R (Computer program language) 
650  0 Application software|xDevelopment. 
650  0 Information visualization. 
650  0 Machine learning. 
650  6 R (Langage de programmation) 
650  6 Logiciels d'application|xDéveloppement. 
650  6 Visualisation de l'information. 
650  6 Apprentissage automatique. 
650  7 Application software|xDevelopment|2fast 
650  7 Information visualization|2fast 
650  7 Machine learning|2fast 
650  7 R (Computer program language)|2fast 
700 1  Ross, Joel,|eauthor. 
830  0 Addison-Wesley data and analytics series. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9780135159071/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    Askews and Holts Library Services|bASKH|nAH35749734 
994    92|bJFN