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    Simulation for Data Science with R - 图书

    2016计算机·编程设计
    导演:Matthias Templ
    This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required.
    Simulation for Data Science with R
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    R for Data Science - 图书

    2023
    导演:Hadley Wickham
    Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition wi...(展开全部)
    R for Data Science
    搜索《R for Data Science》
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    Modern Data Science with R - 图书

    导演:Benjamin S. Baumer
    Modern Data Science with R
    搜索《Modern Data Science with R》
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    Practical Data Science with R - 图书

    导演:Nina Zumel
    Simply put, data science is the discipline of extracting meaning from data. More and more business analysts are called to work as data scientists and while it can involve deep knowledge of statistics, mathematics, machine learning, and computer science; for most non-academics, data science looks like applying analysis techniques to answer key business questions. Sophisticated s...(展开全部)
    Practical Data Science with R
    搜索《Practical Data Science with R》
    图书

    Modern Data Science with R - 图书

    导演:Benjamin S. Baumer
    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 R/RStudio computing environment can be leveraged to extrac...(展开全部)
    Modern Data Science with R
    搜索《Modern Data Science with R》
    图书

    Practical Data Science with R - 图书

    导演:Nina Zumel
    Simply put, data science is the discipline of extracting meaning from data. More and more business analysts are called to work as data scientists and while it can involve deep knowledge of statistics, mathematics, machine learning, and computer science; for most non-academics, data science looks like applying analysis techniques to answer key business questions. Sophisticated s...(展开全部)
    Practical Data Science with R
    搜索《Practical Data Science with R》
    图书

    R for Data Science Cookbook - 图书

    2016计算机·编程设计
    导演:Yu Wei Chiu
    This book is for those who are already familiar with the basic operation of R, but want to learn how to efficiently and effectively analyze real-world data problems using practical R packages.
    R for Data Science Cookbook
    搜索《R for Data Science Cookbook》
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    Software for Data Analysis: Programming with R - 图书

    2008
    导演:John M. Chambers
    John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors...(展开全部)
    Software for Data Analysis: Programming with R
    搜索《Software for Data Analysis: Programming with R》
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    R Data Science Essentials - 图书

    2016计算机·编程设计
    导演:Raja B. Koushik Sharan Kumar Ravindran
    If you are an aspiring data scientist or analyst who has a basic understanding of data science and has basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you.
    R Data Science Essentials
    搜索《R Data Science Essentials》
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    Data Analysis with R - 图书

    2018科学技术·工业技术
    导演:Tony Fischetti
    Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.
    Data Analysis with R
    搜索《Data Analysis with R》
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