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Data Modeling and Regression Analysis in Business

The course will begin with what is familiar to many business managers and those who have taken the first two courses in this specialization. The first set of tools will explore data description, statistical inference, and regression. We will extend these concepts to other statistical methods used for prediction when the response variable is categorical such as win-don’t win an auction. In the next segment, students will learn about tools used for identifying important features in the dataset that can either reduce the complexity or help identify important features of the data or further help explain behavior.

Created by University of Illinois at Urbana-Champaign


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What you’ll learn


Through this learning opportunity you can gain confidence with the skills required by organizations today. The most in demand technique within the educational opportunity that is often included from companies is Data Analysis. The most relevant tool is R.

Who will benefit?


Comparing the description from this learning opportunity with nearly 10,000 data-related job postings, we determine that those interested in Data Scientist roles would benefit the most.