Course description
Data Science: Visualization
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.
Who should attend?
Prerequisites
An up-to-date browser is recommended to enable programming directly in a browser-based interface.
Course delivery details
This course is offered through Harvard University, a partner institute of EdX.
1-2 hours per week
Costs
- Verified Track -$149
- Audit Track - Free
Certification / Credits
What you'll learn
- Data visualization principles
- How to communicate data-drivenfindings
- How to use ggplot2 to create custom plots
- The weaknesses of several widely-used plots and why you should avoid them
Contact this provider
edX
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