Data Science: Visualization using GGPlot2

By: Harvard University
Beginner, Certificate,
Duration: 8 Weeks

Course Name: Data Science: Visualization

Learn basic data visualization principles and how to apply them using ggplot2.

As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis.

We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R.

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Course ByInstructor
Harvard UniversityRafael Irizarry

Course Details

We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important.

The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. This course will give you the skills you need to leverage data to reveal valuable insights and advance your career.

What you will learn?

  • Data visualization principles
  • How to communicate data-driven findings
  • How to use ggplot2 to create custom plots
  • The weaknesses of several widely-used plots and why you should avoid them

Other Details

Course Instructor

Rafael Irizarry: Professor of Biostatistics, T.H. Chan School of Public Health

Check Course Content, Faqs, Rating and other important information about this course.

Details here


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