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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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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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Data Science Using Python and R

open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist the hottest job in America;

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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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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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R 4 Data Science Quick Reference

data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with;

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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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R 4 Data Science Quick Reference

then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications;

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Programming Skills for Data Science

, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman;

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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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R Data Science Quick Reference

Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using;

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R Data Science Essentials

basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you. What You Will Learn;

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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 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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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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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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Practical Data Science With R

familiarity with R is a plus. ABOUT THE TECHNOLOGY R is a programming language which is used for developing statistical software programs. Data;

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Data Science for Fundraising

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Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data

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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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The Essentials of Data Science Knowledge Discovery Using R Chapman HallCRC The R Series

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free;

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Machine Learning and Data Science

– recommendations are provided for further study in order to build advanced skills in tackling important data problem domains.The R statistical environment;

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Practical Data Science with R

demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. Practical Data;

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Practical Data Science Cookbook -

understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement;

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