Harvard University - Data Science: Visualization
- Offered byedX
Data Science: Visualization at edX Overview
Data Science: Visualization
at edX
Duration | 36 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science: Visualization at edX Highlights
Data Science: Visualization
at edX
- Course content has 100% online availability
- Offered By Harvard University
- Video transcript Available: English
- Self paced Course
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Data Science: Visualization at edX Course details
Data Science: Visualization
at edX
Skills you will learn
More about this course
- 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.
Data Science: Visualization at edX Curriculum
Data Science: Visualization
at edX
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
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