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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 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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Data Science Applications using R

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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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Data Science Applications using Python and R

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Data Science Tools

. Features: Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice Covers statistical concepts including;

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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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Beginning Data Science in R 4

github.com/Apress/beg-data-science-r4. What You Will Learn Perform data science and analytics using statistics and the R programming language;

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Essentials of Data Science and Analytics

, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R;

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Mathematical Foundations of Data Science Using R

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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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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Panel Data Econometrics with R

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with;

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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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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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Quantitative Economics with R

bootstrap is introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples;

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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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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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Data Mining for Business Analytics

methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and;

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Hands-On Data Science with Anaconda

, you'll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting;

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Data Science with Java

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data;

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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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Introduction to Deep Learning Using R

. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the;

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Practical Big Data Analytics

Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your;

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A Hands-On Introduction to Data Science

continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples;

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Using R for Item Response Theory Model Applications

, medical research, and business as well. Using R for Item Response Theory Model Applications is a practical guide for students, instructors;

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Using R for Item Response Theory Model Applications

, medical research, and business as well. Using R for Item Response Theory Model Applications is a practical guide for students, instructors;

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Probability with R

queuing systems. Chapters cover: The R language; summarizing statistical data; graphical displays; the fundamentals of probability;

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