Course: Exploratory Data Analysis
Exploratory Data Analysis
Roger Peng, Jeff Leek, and Brian Caffo
Department of Biostatistics
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.
This course is available as part of the Johns Hopkins Data Science Specialization on Coursera.