Data Science With R An Integrated Approach To Programming And Analytics


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Data Science with R: An Integrated Approach to Programming and Analytics


Data Science with R: An Integrated Approach to Programming and Analytics

Author: Prof.Lavanya.V

language: en

Publisher: Leilani Katie Publication

Release Date: 2025-05-07


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Prof.Lavanya.V, Assistant Professor, Department of Computer Applications, CMR University, Bengaluru, Karnataka, India. Prof.N.Bhavyadevi Vishalakshi, Assistant Professor, Department of Computer Science and Engineering, CMR University, Bengaluru, Karnataka, India. Dr.T.Priya, Assistant Professor, Department of Computer Applications, East Point College of Higher Education, Bengaluru, Karnataka, India. Dr.S.Moses Praveen Mukharjee, Professor, Department of Computer Applications, East Point College of Higher Education, Bengaluru, Karnataka, India.

R for Data Science


R for Data Science

Author: Hadley Wickham

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2016-12-12


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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

DATA SCIENCE WITH R PROGRAMMING


DATA SCIENCE WITH R PROGRAMMING

Author: Dr.CARMEL MARY BELINDA.M.J

language: en

Publisher: SK Research Group of Companies

Release Date: 2024-02-07


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Dr.CARMEL MARY BELINDA.M.J, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.K.NATTAR KANNAN, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.R.GNANAJEYARAMAN, Profesor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Saveetha University, Chennai, India. Dr.U.ARUL, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India. Dr.M.RAMA MOORTHY, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.