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Doing Data Science in R

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 Using Python and R

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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Data Science in Education Using R

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

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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Learn R for Applied Statistics

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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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Hands-On Data Science with R

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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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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R 4 Data Science Quick Reference

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All;

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R 4 Data Science Quick Reference

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them;

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Data Science for Business With R

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

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

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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R Data Science Quick Reference

. 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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R Data Science Essentials

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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Geographical Data Science and Spatial Data Analysis

of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that;

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Doing Data Science

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R for Data Science

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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Applied Statistics for Environmental Science with R

> Shows how to analyze data using R software and provides R scripts for all examples and figures;

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Practical Data Science with R

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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Data Management in R

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students;

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Data Management in R

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students;

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Data Science with Julia

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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Data Science with Julia

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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Business Data Science

correlation*Solve data science programs by scripting in the R programming language Today's business landscape is driven by data and constantly;

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Programming Skills for Data Science

solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle;

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Data Science

Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and;

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