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Data Science Foundations Tools and Techniques
Core Skills for Quantitative Analysis with R and Git
Taschenbuch von Joel Ross (u. a.)
Sprache: Englisch

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Beschreibung

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.

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.

Inhaltsverzeichnis
  • Part I: Getting Started
  • Chapter 1: Setting Up Your Computer
  • Chapter 2: Using the Command Line
  • Part II: Managing Projects
  • Chapter 3: Version Control with git and GitHub
  • Chapter 4: Using Markdown for Documentation
  • Part III: Foundational R Skills
  • Chapter 5: Introduction to R
  • Chapter 6: Functions
  • Chapter 7: Vectors
  • Chapter 8: Lists
  • Part IV: Data Wrangling
  • Chapter 9: Understanding Data
  • Chapter 10: Data Frames
  • Chapter 11: Manipulating Data with dplyr
  • Chapter 12: Reshaping Data with tidyr
  • Chapter 13: Accessing Databases
  • Chapter 14: Accessing Web APIs
  • Part V: Data Visualization
  • Chapter 15: Designing Data Visualizations
  • Chapter 16: Creating Visualizations with ggplot2
  • Chapter 17: Interactive Visualization in R
  • Part VI: Building and Sharing Applications
  • Chapter 18: Dynamic Reports with R Markdown
  • Chapter 19: Building Interactive Web Applications with Shiny
  • Chapter 20: Working Collaboratively
  • Chapter 21: Moving Forward
  • Index
Details
Erscheinungsjahr: 2018
Fachbereich: Programmiersprachen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780135133101
ISBN-10: 0135133106
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Ross, Joel
Freeman, Michael
Hersteller: Pearson Education (US)
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 179 x 232 x 18 mm
Von/Mit: Joel Ross (u. a.)
Erscheinungsdatum: 23.11.2018
Gewicht: 0,556 kg
Artikel-ID: 111557883
Inhaltsverzeichnis
  • Part I: Getting Started
  • Chapter 1: Setting Up Your Computer
  • Chapter 2: Using the Command Line
  • Part II: Managing Projects
  • Chapter 3: Version Control with git and GitHub
  • Chapter 4: Using Markdown for Documentation
  • Part III: Foundational R Skills
  • Chapter 5: Introduction to R
  • Chapter 6: Functions
  • Chapter 7: Vectors
  • Chapter 8: Lists
  • Part IV: Data Wrangling
  • Chapter 9: Understanding Data
  • Chapter 10: Data Frames
  • Chapter 11: Manipulating Data with dplyr
  • Chapter 12: Reshaping Data with tidyr
  • Chapter 13: Accessing Databases
  • Chapter 14: Accessing Web APIs
  • Part V: Data Visualization
  • Chapter 15: Designing Data Visualizations
  • Chapter 16: Creating Visualizations with ggplot2
  • Chapter 17: Interactive Visualization in R
  • Part VI: Building and Sharing Applications
  • Chapter 18: Dynamic Reports with R Markdown
  • Chapter 19: Building Interactive Web Applications with Shiny
  • Chapter 20: Working Collaboratively
  • Chapter 21: Moving Forward
  • Index
Details
Erscheinungsjahr: 2018
Fachbereich: Programmiersprachen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780135133101
ISBN-10: 0135133106
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Ross, Joel
Freeman, Michael
Hersteller: Pearson Education (US)
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 179 x 232 x 18 mm
Von/Mit: Joel Ross (u. a.)
Erscheinungsdatum: 23.11.2018
Gewicht: 0,556 kg
Artikel-ID: 111557883
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