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Data Visualization with R
  • Level Foundation
  • المدة 12 ساعات hours
  • الطبع بواسطة IBM
  • Offered by

عن

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web. You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills.

الوحدات

Welcome

    • 1 Readings
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1 Readings

  • Course Introduction

Lesson 1: Data Visualization Tools and Packages

    • 2 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Practice Quiz
  • Graded Quiz

2 Videos

  • Introduction to Data Visualization
  • Using ggplot2

1 Readings

  • Summary & Highlights 

Lesson 2: Create Basic Charts with ggplot2

    • 3 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Plugin
    • 2 Assignment
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2 Assignment

  • Practice Quiz
  • Graded Quiz

1 External Tool

  • Hands-on Lab: Apply Basic Chart Learning

3 Videos

  • Bar Charts
  • Histograms
  • Pie Charts

1 Readings

  • Summary & Highlights 

Lesson 1: Basic Plots

    • 3 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Plugin
    • 2 Assignment
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2 Assignment

  • Practice Quiz
  • Graded Quiz

1 External Tool

  • Hands-on Lab: Apply Basic Plot Learning

3 Videos

  • Scatter Plots
  • Line Plots
  • Box Plots

1 Readings

  • Summary & Highlights 

Lesson 2: Customization and Maps

    • 3 Videos
    • 1 Readings
    • 1 ExternalTool
    • 2 Plugin
    • 2 Assignment
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2 Assignment

  • Practice Quiz
  • Graded Quiz

1 External Tool

  • Hands-on Lab: Apply Maps Learning

3 Videos

  • Customize Plots
  • Themes and Faceting
  • v2.2.3 - Maps with Leaflet

1 Readings

  • Summary & Highlights 

Lesson 1: Introduction to Dashboards

    • 3 Videos
    • 1 Readings
    • 3 Plugin
    • 1 Lab
    • 2 Assignment
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2 Assignment

  • Practice Quiz
  • Graded Quiz

1 Labs

  • Hands-on Lab: Create a Shiny App (using Coursera Labs)

3 Videos

  • Introduction to Dashboards & Shiny
  • Shiny Basics
  • Create a Simple Shiny App

1 Readings

  • Summary & Highlights 

Lesson 2: Create a Dashboard Application

    • 3 Videos
    • 1 Readings
    • 2 Plugin
    • 1 Lab
    • 2 Assignment
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2 Assignment

  • Practice Quiz
  • Graded Quiz

1 Labs

  • Hands on Lab: Shiny Components (using Coursera Labs)

3 Videos

  • Explore Shiny Components
  • Deploy the Shiny App
  • Reports in rmd

1 Readings

  • Summary & Highlights 

Final Assignment

    • 1 Readings
    • 1 PeerReview
    • 1 Plugin
    • 1 Lab
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1 Peer Review

  • Peer Review: Submit your Work and Review your Peers

1 Labs

  • Final Lab: Dashboard with Shiny using Census Data (on Coursera Labs)

1 Readings

  • Final Project Overview – Dashboard with Shiny using Census Data

Final Exam

    • 1 Assignment
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1 Assignment

  • Final Exam

Course Wrap-Up

    • 1 Readings
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1 Readings

  • Congratulations and Next Steps

Credits and Acknowledgments

    • 1 Readings
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1 Readings

  • Credits and Acknowledgments

Auto Summary

Unlock the power of data visualization with "Data Visualization with R," a foundational course in the Data Science & AI domain offered by Coursera. Guided by expert instructors, this course immerses you in the Grammar of Graphics and the comprehensive ggplot2 package, enabling you to create and customize a variety of charts, including bar charts, histograms, pie charts, scatter plots, line plots, and box plots. Delve deeper into advanced visualizations with the Leaflet package to craft compelling map plots based on geolocation data. The course also introduces the R Shiny package, empowering you to build interactive dashboards. Learn to enhance your Shiny apps with HTML and image components and deploy your interactive data applications on the web. The 720-minute course is designed for individuals with prior knowledge of R and data handling. If you are new to R, consider completing the "Introduction to R Programming for Data Science" and "Data Analysis with R" courses from IBM first. Throughout the course, engage in practical labs and a final project to solidify your skills. Subscription options include Starter and Professional plans, catering to various learner needs. Ideal for those looking to expand their data science toolkit, this course promises to elevate your data visualization capabilities significantly. Join now and watch your data storytelling skills soar!

Yiwen Li
Instructors

Yiwen Li

Tiffany Zhu
Instructors

Tiffany Zhu

Saishruthi Swaminathan
Instructors

Saishruthi Swaminathan

Gabriela de Queiroz
Instructors

Gabriela de Queiroz