Exploratory Data Analysis is a free online course, is a part of the data science specialisation. Learn the essential exploratory techniques for summarizing data. This is the fourth course in the Johns Hopkins Data Science Specialisation.
About the Course
This course covers the essential exploratory techniques for summarising 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.
After successfully completing this course students will be able to make visual representations of data using the base, lattice, and ggplot2 plotting systems in R, apply basic principles of data graphics to create rich analytic graphics from different types of datasets, construct exploratory summaries of data in support of a specific question, and create visualisations of multidimensional data using exploratory multivariate statistical techniques.
October 6, 2014 - November 3, 2014
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