Exploratory Data Analysis
By Coursera
on Coursera
· Data Science
About This Course
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
Instructor
Roger D. Peng
Frequently Asked Questions
How much does Exploratory Data Analysis cost?
Visit the Exploratory Data Analysis course page for current pricing and available discounts.
Who teaches Exploratory Data Analysis?
Exploratory Data Analysis is taught by Roger D. Peng, PhD, Johns Hopkins University.
What skill level is Exploratory Data Analysis for?
This course is designed for all levels learners.