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Avis et commentaires pour l'étudiant pour Data Modeling and Regression Analysis in Business par Université de l'Illinois à Urbana-Champaign

35 notes
8 avis

À propos du cours

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. ...

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1 - 8 sur 8 Examens pour Data Modeling and Regression Analysis in Business

par Vivek B

Jul 10, 2019


par Venka P C

Jul 16, 2019

Excellent course and great Teacher!

par Aditya S

Aug 11, 2019

The course was easy to understand and fun to practice at home which made it exciting and useful at the same time.

par Dejan H

Jul 04, 2019

Very interesting course taught but a great professor. Some material may benefit from additional background knowledge or further clarification, but overall good content and delivery. This is not a beginner course and some understanding of elementary statistics is pretty much required.

par Bill C

Aug 22, 2019

this course is easier to understand the statistical modeling, no need to learn the deep algorithm

par Li Y

Jul 11, 2019

It would be better if the course is organized more in order based on teaching and homework pace.

par Jie W

Jul 06, 2019

This is a worst class you can take.

par Jesse A

Aug 06, 2019

One of the most poorly designed courses I have ever taken...