Introducing Data Science Book [PDF] Download

Download the fantastic book titled Introducing Data Science written by Davy Cielen, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Introducing Data Science", which was released on 02 May 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Introducing Data Science by Davy Cielen PDF

Summary Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. About the Book Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science. What’s Inside Handling large data Introduction to machine learning Using Python to work with data Writing data science algorithms About the Reader This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. About the Authors Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors. Table of Contents Data science in a big data world The data science process Machine learning Handling large data on a single computer First steps in big data Join the NoSQL movement The rise of graph databases Text mining and text analytics Data visualization to the end user


Detail About Introducing Data Science PDF

  • Author : Davy Cielen
  • Publisher : Simon and Schuster
  • Genre : Computers
  • Total Pages : 475 pages
  • ISBN : 1638352496
  • PDF File Size : 23,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Introducing Data Science

Introducing Data Science
  • Publisher : Simon and Schuster
  • File Size : 41,6 Mb
  • Release Date : 02 May 2016
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Summary Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of

Introduction to Data Science

Introduction to Data Science
  • Publisher : CRC Press
  • File Size : 46,6 Mb
  • Release Date : 20 November 2019
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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

An Introduction to Data Science

An Introduction to Data Science
  • Publisher : SAGE Publications
  • File Size : 43,9 Mb
  • Release Date : 25 August 2017
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An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of

An Introduction to Statistical Learning

An Introduction to Statistical Learning
  • Publisher : Springer Nature
  • File Size : 28,6 Mb
  • Release Date : 01 August 2023
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have

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R for Data Science
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 54,6 Mb
  • Release Date : 12 December 2016
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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

Python Data Science Handbook

Python Data Science Handbook
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 36,7 Mb
  • Release Date : 21 November 2016
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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

A Hands-On Introduction to Data Science

A Hands-On Introduction to Data Science
  • Publisher : Cambridge University Press
  • File Size : 41,8 Mb
  • Release Date : 02 April 2020
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An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

Data Science in Education Using R

Data Science in Education Using R
  • Publisher : Routledge
  • File Size : 20,8 Mb
  • Release Date : 26 October 2020
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Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education

Introduction to Data Science

Introduction to Data Science
  • Publisher : Springer
  • File Size : 52,6 Mb
  • Release Date : 22 February 2017
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This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and