Freeman, Michael <br/><br/>
Programming skills for data science :  start writing code to wrangle, analyze, and visualize data with R / 
Michael Freeman, Joel Ross. 
 - xvi, 361 pages :  illustrations (chiefly color) ;  23 cm. 
 - Addison Wesley data & analytics series .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>I. Getting started. Setting up your computer<br/>Using the command line<br/>II. Managing projects. Version control with GIT and GitHub<br/>Using Markdown for documentation<br/>III. Foundational R skills. Introduction to R<br/>Functions<br/>Vectors<br/>Lists<br/>IV. Data wrangling. Understanding data<br/>Data frames<br/>Manipulating data with dplyr<br/>Reshaping data with tidyr<br/>Accessing databases<br/>Accessing web APIs<br/>V. Data visualization. Designing data visualizations<br/>Creating visualizations with ggplot2<br/>Interactive visualization in R<br/>VI. Building and sharing application. Dynamic reports with R Markdown<br/>Building interactive web applications with Shiny<br/>Working collaboratively<br/>Moving forward 
<br/><br/> "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."--  Publisher's description 
<br/><br/> College of Engineering and Computer Studies  Bachelor of Science in Information Technology 
<br/><br/><br/>In English 
<br/><br/><label>ISBN: </label>9780135133101 
<br/><br/><label>LCCN: </label>2018953978 
<br/><br/><label>Subjects--Topical Terms: </label><br/>R (Computer program language)<br/>Application software--Development.<br/>Information visualization.<br/>Machine learning.
<br/><br/><label>LC Class. No.: </label>QA276.45.R3  / F74 2019 
<br/><br/><label>Dewey Class. No.: </label>519.502855133 F87  / 2019