Course

Data Visualization with R

IBM

Discover the power of data visualization with R in this comprehensive course offered by IBM. You will delve into the Grammar of Graphics, master the ggplot2 package, and explore the creation of bar charts, histograms, scatter plots, and more. Customization techniques, including themes and faceting, will enhance your visualization skills. Additionally, you will learn to leverage the Leaflet package to build maps and delve into the creation of interactive dashboards using the Shiny package. With hands-on labs and a final project, you will gain practical experience in creating impactful visualizations that effectively communicate insights from data.

This course is suitable for learners with prior knowledge of R programming and data analysis. If you are ready to elevate your data visualization skills and unleash the potential of R, enroll in this course today.

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Data Visualization with R
Course Modules

This course is divided into four modules, starting with an introduction to data visualization and ggplot2. You will then explore basic plots, maps, and customization techniques. The third module focuses on dashboards and the Shiny package, and the final module culminates in a comprehensive assignment to apply your newfound skills.

Module 1 - Introduction to Data Visualization

Module 1 - Introduction to Data Visualization

  • Gain an understanding of the Grammar of Graphics
  • Learn to use ggplot2 for creating various charts
  • Explore bar charts, histograms, and pie charts
  • Participate in practice quizzes and hands-on labs

Module 2 - Basic Plots, Maps, and Customization

Module 2 - Basic Plots, Maps, and Customization

  • Delve into scatter plots, line plots, and box plots
  • Learn customization techniques, including themes and faceting
  • Explore the use of Leaflet for creating maps
  • Participate in practice quizzes and hands-on labs

Module 3 - Dashboards

Module 3 - Dashboards

  • Discover the basics of creating interactive dashboards using the Shiny package
  • Explore Shiny components and deployment of Shiny apps
  • Engage in practice quizzes and hands-on labs

Module 4 - Final Assignment

Module 4 - Final Assignment

  • Culminate your learning in a comprehensive assignment
  • Apply your skills in creating impactful visualizations
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