R For Data Science

R for Data Science
Publisher "O'Reilly Media, Inc."
Release Date
Category Computers
Total Pages 492
ISBN 9781491910368
Rating 5/5 from 3 reviews
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"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
  • Author : Hadley Wickham,Garrett Grolemund
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2016-12-12

"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"--

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Data Science
  • Author : John D. Kelleher,Brendan Tierney
  • Publisher : MIT Press
  • Release Date : 2018-04-13

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the

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Introduction to Data Science
  • Author : Rafael A. Irizarry
  • Publisher : CRC Press
  • Release Date : 2019-11-20

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization,

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Python Data Science Handbook
  • Author : Jake VanderPlas
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2016-11-21

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn,

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Build a Career in Data Science
  • Author : Emily Robinson,Jacqueline Nolis
  • Publisher : Simon and Schuster
  • Release Date : 2020-03-06

Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.

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Data Science For Dummies
  • Author : Lillian Pierson
  • Publisher : John Wiley & Sons
  • Release Date : 2017-03-06

Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and

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Doing Data Science
  • Author : Cathy O'Neil,Rachel Schutt
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-10-09

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia

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Data Science for Business
  • Author : Foster Provost,Tom Fawcett
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-07-27

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many

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Data Science from Scratch
  • Author : Joel Grus
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2015-04-14

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing

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Getting Started with Data Science
  • Author : Murtaza Haider
  • Publisher : IBM Press
  • Release Date : 2015-12-14

Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’

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Fundamentals of Data Science
  • Author : Sanjeev J. Wagh,Manisha S. Bhende,Anuradha D. Thakare
  • Publisher : CRC Press
  • Release Date : 2021-09-20

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to

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Data Science and Data Analytics
  • Author : Amit Kumar Tyagi
  • Publisher : CRC Press
  • Release Date : 2021-09-22

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms,

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A Hands On Introduction to Data Science
  • Author : Chirag Shah
  • Publisher : Cambridge University Press
  • Release Date : 2020-04-02

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

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The Big R Book
  • Author : Philippe J. S. De Brouwer
  • Publisher : John Wiley & Sons
  • Release Date : 2020-09-29

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range

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Data Science
  • Author : Vijay Kotu,Bala Deshpande
  • Publisher : Morgan Kaufmann
  • Release Date : 2018-11-27

Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important

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