“An expert is one who knows more and more about less and less until he knows absolutely everything about nothing.”

Exploratory Data Analysis...free online course from Johns Hopkins University



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.

Taught by:  

  Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health

Taught by: 

   Jeff Leek, Associate Professor, Biostatistics
Bloomberg School of Public Health

Taught by:

   Brian Caffo, Professor, Biostatistics
Bloomberg School of Public Health

Basic InfoCourse 4 of 10 in the Data Science Specialization.
LanguageEnglishSubtitles: Portuguese (Brazilian), Chinese
How To PassPass all graded assignments to complete the course.
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