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.
Data Modeling and Regression Analysis in Business일리노이대학교 어버너-섐페인캠퍼스
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DATA MODELING AND REGRESSION ANALYSIS IN BUSINESS의 최상위 리뷰
this course is easier to understand the statistical modeling, no need to learn the deep algorithm
The course was easy to understand and fun to practice at home which made it exciting and useful at the same time.
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