Data Science Foundations Tools and Techniques

Download or Read eBook Data Science Foundations Tools and Techniques PDF written by Michael Freeman and published by Addison-Wesley Professional. This book was released on 2018-11-23 with total page 835 pages. Available in PDF, EPUB and Kindle.
Data Science Foundations Tools and Techniques
Author :
Publisher : Addison-Wesley Professional
Total Pages : 835
Release :
ISBN-10 : 9780135159088
ISBN-13 : 0135159083
Rating : 4/5 (88 Downloads)

Book Synopsis Data Science Foundations Tools and Techniques by : Michael Freeman

Book excerpt: The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you’ve uncovered. Step by step, you’ll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything’s focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon. Learn to Install your complete data science environment, including R and RStudio Manage projects efficiently, from version tracking to documentation Host, manage, and collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format, explore, and restructure data for successful analysis Interact with databases and web APIs Master key principles for visualizing data accurately and intuitively Produce engaging, interactive visualizations with ggplot and other R packages Transform analyses into sharable documents and sites with R Markdown Create interactive web data science applications with Shiny Collaborate smoothly as part of a data science team Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.


Data Science Foundations Tools and Techniques Related Books

Data Science Foundations Tools and Techniques
Language: en
Pages: 835
Authors: Michael Freeman
Categories: Computers
Type: BOOK - Published: 2018-11-23 - Publisher: Addison-Wesley Professional

DOWNLOAD EBOOK

The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientist
Programming Skills For Data Science
Language: en
Pages: 397
Authors: Freeman
Categories:
Type: BOOK - Published: - Publisher: Pearson Education India

DOWNLOAD EBOOK

Programming Skills for Data Science brings together all the foundation skills needed to transform raw data into actionable insights for domains ranging from urb
Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a
Foundations of Data Science Based Healthcare Internet of Things
Language: en
Pages: 75
Authors: Parikshit N. Mahalle
Categories: Technology & Engineering
Type: BOOK - Published: 2021-01-22 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a basic understanding of the Internet of Things (IoT), its design issues and challenges for healthcare applications. It also provides details o
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

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 pac