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Data Science Foundations Tools and Techniques

Core Skills for Quantitative Analysis with R and Git

Paperback Engels 2018 9780135133101
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

Leading instructors Michael Freeman and Joel Ross guide readers through installing and configuring the tools needed to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle 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, students will 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 students can quickly start analyzing their own data and getting answers they can act upon.

Specificaties

ISBN13:9780135133101
Taal:Engels
Bindwijze:Paperback

Lezersrecensies

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Inhoudsopgave

<ul> <li> <div style="MARGIN: 0px"> Part I: Getting Started </div> </li> <li> <div style="MARGIN: 0px"> Chapter 1: Setting Up Your Computer </div> </li> <li> <div style="MARGIN: 0px"> Chapter 2: Using the Command Line </div> </li> <li> <div style="MARGIN: 0px"> Part II: Managing Projects </div> </li> <li> <div style="MARGIN: 0px"> Chapter 3: Version Control with git and GitHub </div> </li> <li> <div style="MARGIN: 0px"> Chapter 4: Using Markdown for Documentation </div> </li> <li> <div style="MARGIN: 0px"> Part III: Foundational R Skills </div> </li> <li> <div style="MARGIN: 0px"> Chapter 5: Introduction to R </div> </li> <li> <div style="MARGIN: 0px"> Chapter 6: Functions </div> </li> <li> <div style="MARGIN: 0px"> Chapter 7: Vectors </div> </li> <li> <div style="MARGIN: 0px"> Chapter 8: Lists </div> </li> <li> <div style="MARGIN: 0px"> Part IV: Data Wrangling </div> </li> <li> <div style="MARGIN: 0px"> Chapter 9: Understanding Data </div> </li> <li> <div style="MARGIN: 0px"> Chapter 10: Data Frames </div> </li> <li> <div style="MARGIN: 0px"> Chapter 11: Manipulating Data with dplyr </div> </li> <li> <div style="MARGIN: 0px"> Chapter 12: Reshaping Data with tidyr </div> </li> <li> <div style="MARGIN: 0px"> Chapter 13: Accessing Databases </div> </li> <li> <div style="MARGIN: 0px"> Chapter 14: Accessing Web APIs </div> </li> <li> <div style="MARGIN: 0px"> Part V: Data Visualization </div> </li> <li> <div style="MARGIN: 0px"> Chapter 15: Designing Data Visualizations </div> </li> <li> <div style="MARGIN: 0px"> Chapter 16: Creating Visualizations with ggplot2 </div> </li> <li> <div style="MARGIN: 0px"> Chapter 17: Interactive Visualization in R </div> </li> <li> <div style="MARGIN: 0px"> Part VI: Building and Sharing Applications </div> </li> <li> <div style="MARGIN: 0px"> Chapter 18: Dynamic Reports with R Markdown </div> </li> <li> <div style="MARGIN: 0px"> Chapter 19: Building Interactive Web Applications with Shiny </div> </li> <li> <div style="MARGIN: 0px"> Chapter 20: Working Collaboratively </div> </li> <li> <div style="MARGIN: 0px"> Chapter 21: Moving Forward </div> </li> <li> <div style="MARGIN: 0px"> Index </div> </li> </ul>

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        Data Science Foundations Tools and Techniques