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developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics;
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developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics;
Vergelijkbare producten zoals Beginning Data Science in R 4
, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data;
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, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights;
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Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical;
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scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data;
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Het boek 'Beginning R 4' van Joshua F. Wiley, Matt Wiley koop je bij bookspot.nl, nu voor 56.21!;
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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
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Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread;
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uses of NSF's R&D data by a variety of users, the goals of an integrated system of surveys and other data collection activities, and the;
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notation, complex statistics, manipulating data and extracting components, and rudimentary programming. * R, the open source statistical language;
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A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science;
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This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;
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Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R;
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Learn the essence of data science and visualization using R in no time at all About This Book * Become a pro at making stunning;
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empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on;
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empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on;
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Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;
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Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;
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Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;
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of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.;
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> Shows how to analyze data using R software and provides R scripts for all examples and figures;
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This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical;
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