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Avis et commentaires pour d'étudiants pour Inferential and Predictive Statistics for Business par Université de l'Illinois à Urbana-Champaign

820 évaluations

À propos du cours

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained. You will be able to: • Test for beliefs about a population • Compare differences between populations • Use linear regression model for prediction • Use Excel for statistical analysis This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at

Meilleurs avis


10 déc. 2020

I find the use of Excel after the lecture to be more useful in the real life.

The professor has a slower speaking speed so you may need to use 2x the speed.

The content is super useful.


19 mai 2017

Very good introductory Statistics course. The topic selection is very pertinent to meet the need of a manager to analyze data and to make decision. Quality of teaching is GREAT.

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