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Beginning Data Science in R 4

models. This requires computational methods and programming, and R is an ideal programming language for this. Modern data analysis requires;

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Modern Data Science with R

Accessible to a general audience with some background in statistics and computing Many examples and extended case studies Illustrations;

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Beginning Data Science in R 4

number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern;

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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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Hands-On Data Science with R

Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;

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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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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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Data Science Using Python and R

. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with;

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Easy Statistics for Food Science with R

Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work;

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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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Python and R for the Modern Data Scientist

programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each;

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Statistics for Data Scientists

students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a;

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Mathematical Foundations of Data Science Using R

, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data;

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Data Science in Education Using R

does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;

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Data Science in Education Using R

does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;

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Programming Skills for Data Science

collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format;

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R Data Science Essentials

dashboard using ggplot and R shiny In Detail With organizations increasingly embedding data science across their enterprise and with;

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Mathematical Foundations of Data Science Using R

worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R;

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Practical Data Science with R

Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science;

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A Tour of Data Science

, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.;

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A Tour of Data Science

analysts, and others who want to learn programming with R and Python from a data science perspective.;

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Practical Data Science With R

business questions. Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps;

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An Introduction to Data Analysis in R

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics;

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

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