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Exploratory Data Analysis

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.

Created by Johns Hopkins University


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What you’ll learn


Through this learning opportunity you may improve the compentencies required by companies in 2021. The most relevant technique within the educational resource that is commonly mentioned from employers is Data Analysis. The most relevant tool is R.

Who will benefit?


Mapping the description from this learning opportunity with nearly 10,000 data-related job maps, we find that those in or pursuing Data Scientist roles have the most to gain.