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Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Addison-Wesley Data & Analytics Series)
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Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Addison-Wesley Data & Analytics Series)
Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Addison-Wesley Data & Analytics Series)
物品 #: 19614469

Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Addison-Wesley Data & Analytics Series)

89% of respondents would recommend this to a friend

物品 #: 19614469

HKD 528

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產品詳情

Get the Data Science Foundations Tools and Techniques book from Ubuy, a 香港. Learn about data visualization, web development, and more from senior lecturers at the University of Washington Information School.
Publisher Addison-Wesley Professional
Publication date November 28, 2018
Edition 1st
Language English
Print length 384 pages
ISBN-10 0135133106
ISBN-13 978-0135133101
Item Weight 1.08 pounds (490 grams)
Dimensions 0.6 x 7 x 9 inches (1.5 x 17.8 x 22.9 cm)
Part of series Addison-Wesley Data & Analytics

產品敘述

Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Addison-Wesley Data & Analytics Series)

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Data Mining Editorial Review

Overall, the Programming Skills for Data Science book by Freeman and Ross is highly recommended by readers for its comprehensive coverage of important data science topics. The authors are praised for their elegant coding, pedagogical expertise, and the inclusion of exercises and code available on GitHub for practice. However, some readers feel that the book falls short in fully articulating the nuances of data science and lacks treatment of certain important topics such as object-oriented programming and computational complexity. The examples given are criticized for being dry and uninspiring, and the Prose is described as sometimes contradictory or too dry. Additionally, some readers feel that there is an overemphasis on geospatial visualization techniques that may be more suitable for specialized texts. Despite these criticisms, readers appreciate the accessible language of the book and the step-by-step explanations provided for downloading necessary programs. The book is commended for starting at the beginning of the data science journey and providing a solid foundation in command line tools, git, and R programming. The authors' expertise is evident in their selection of tools and technologies, particularly in the section on wrangling and visualizing data using R packages like tidyverse and ggplot2. Overall, Programming Skills for Data Science is recommended for those looking for a comprehensive introduction to data science and programming, with the hope for future revisions to address some of the book's shortcomings. **

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優點

  • Comprehensive coverage of important data science topics
  • Elegant coding and pedagogical expertise
  • Inclusion of exercises and code for practice
  • Accessible language and step-by-step explanations
  • Strong foundation in command line tools, git, and R programming
  • Expertise shown in the selection of tools and technologies

缺點

  • Lack of articulation of certain nuances of data science

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HKD 528

現在訂購，約可在下列時間收貨： 星期六, 十月 17

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