- From www.coursera.org
Exploratory Data Analysis
- Self-paced
- Free Access
- Fee-based Certificate
- 4 Sequences
- Introductive Level
- Subtitles in Vietnamese, Chinese
Course details
Syllabus
- Week 1 - Week 1
This week covers the basics of analytic graphics and the base plotting system in R. We've also included some background material to help you install R if you haven't done so already. - Week 2 - Week 2
Welcome to Week 2 of Exploratory Data Analysis. This week covers some of the more advanced graphing systems available in R: the Lattice system and the ggplot2 system. While the base graphics system provides many important tools for visualizing data, it was par... - Week 3 - Week 3
Welcome to Week 3 of Exploratory Data Analysis. This week covers some of the workhorse statistical methods for exploratory analysis. These methods include clustering and dimension reduction techniques that allow you to make graphical displays of very high dime... - Week 4 - Week 4
This week, we'll look at two case studies in exploratory data analysis. The first involves the use of cluster analysis techniques, and the second is a more involved analysis of some air pollution data. How one goes about doing EDA is often personal, but I'm pr...
Prerequisite
Instructors
Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health
Editor
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One of the most prestigious universities in the United States (especially for its faculties of medicine and public health, as well as its school of international affairs), the institution defines itself as the country's leading "research university". At the beginning of its history, it was mainly inspired by the University of Heidelberg and the German educational model of Wilhelm von Humboldt. In 2019, 39 Nobel Prize winners have their names associated with the university.
Platform
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