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Data Science: Visualization

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Data Sciencea Visualization

Learn basic data visualization principles, through a case study related to trends in world health and economics, and how to apply them using ggplot2.

Harvard University Online Course Highlights
  • weeks long
  • 2-4 hours per week
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Rafael Irizarry, Professor of Biostatistics
  • View Course Syllabus

Online Course Details:

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. 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’ll learn

  • Data visualization principles to better 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

Take This Online Course