Introduction to Data Science

Data Analysis and Prediction Algorithms with R



Bookstore > Books > Introduction to Data Science

Introduction to Data Science
Free Download
eBookFree
Rating
AuthorRafael A Irizarry
PublisherLeanpub
Published2019
Pages722
LanguageEnglish
FormatPaper book / ebook (PDF)
EBook Hardcover Paperback

The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book 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 with dplyr, data visualization with ggplot2, algorithm building with caret, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation with knitr and R markdown. The book is divided into six parts: R, Data Visualization, Data Wrangling, Probability, Inference and Regression with R, Machine Learning, and Productivity Tools. Each part has several chapters meant to be presented as one lecture. The book includes dozens of exercises distributed across most chapters.





Similar Books


Data Science with SQL Server Quick Start Guide

Data Science with SQL Server Quick Start Guide

by Dejan Sarka

SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.This book is the ideal introduction to data science w...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018

Hands-On Data Science with R

Hands-On Data Science with R

by Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident eno...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2018

Introduction to Computer Science Using Python

Introduction to Computer Science Using Python

by Charles Dierbach

Introduction to Computer Science Using Python: A Computational Problem-Solving Focusintroduces students to programming and computational problem-solving via a back-to-basics, step-by-step, objects-late approach that makes this book easy to teach and learn from. Students are provided with a thorough conceptual grounding in computational pr...

Price:  $18.98  |  Publisher:  Wiley  |  Release:  2013

Doing Data Science

Doing Data Science

by Cathy O'Neil, Rachel Schutt

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 University's Introduction to Data Science class, ...

Price:  $13.30  |  Publisher:  O'Reilly Media  |  Release:  2013

The Data Science Design Manual

The Data Science Design Manual

by Steven S. Skiena

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Des...

Price:  $61.52  |  Publisher:  Springer  |  Release:  2017

Practical Data Science Cookbook

Practical Data Science Cookbook

by Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta

Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2014

R for Data Science

R for Data Science

by Dan Toomey

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide vari...

Price:  $30.99  |  Publisher:  Packt Publishing  |  Release:  2014

Python Data Science Essentials, 3rd Edition

Python Data Science Essentials, 3rd Edition

by Alberto Boschetti, Luca Massaron

Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.The book covers detai...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2018