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 Businessイリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）
イリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
- 5 stars59.61%
- 4 stars23.07%
- 3 stars9.61%
- 1 star7.69%
DATA MODELING AND REGRESSION ANALYSIS IN BUSINESS からの人気レビュー
The course was easy to understand and fun to practice at home which made it exciting and useful at the same time.
this course is easier to understand the statistical modeling, no need to learn the deep algorithm