Back to Inferential and Predictive Statistics for Business
University of Illinois Urbana-Champaign

Inferential and Predictive Statistics for Business

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 https://degrees.giesbusiness.illinois.edu/idegrees/.

Status: Data-Driven Decision-Making
Status: Analytics
IntermediateCourse20 hours

Featured reviews

JK

5.0Reviewed May 4, 2019

great to learn on how regressions are run and used for all kinds of examples. Feels great to accomplish and finish this course.

VS

5.0Reviewed Jul 18, 2020

The Professor is gracious lady and commands huge respect. Very clear and confident in her knowledge and style of teachings. I wish Ma'am nothing less than the very best.

KS

5.0Reviewed May 8, 2020

Everyone should take this course! And you should also re-take it throughout your life. This knowledge is truly essential.

GM

5.0Reviewed May 13, 2017

Super practical exploration of how to use inferential and predictive statistics in everyday business decision making. So good I want more!

MC

5.0Reviewed Oct 5, 2016

Really great course! With a little bit of data you can explain anything! The course is really easy to understand with great and interesting examples! Thanks a lot!

SG

5.0Reviewed May 19, 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.

JH

5.0Reviewed May 7, 2019

Awesome experience riding through this course and learning key concepts in statistics that can be used in the daily life.

BL

5.0Reviewed Sep 27, 2020

I like statistics analysis very much because this subject matter is very useful and practical in our daily works.

DF

4.0Reviewed Dec 28, 2019

Very well produced. The modules are clear and easy to follow. Maybe I missed it but it would be good to supply all the related example data in Excel to be able to practice.

JC

5.0Reviewed Dec 10, 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.

AG

4.0Reviewed Oct 26, 2016

A very good course, well presented by the prof. Many examples with solutions in Excel that helped to make it clear.

RR

5.0Reviewed Oct 1, 2020

Wonderful course! Thanks to Professor Taghaboni-Dutta, this course was educations, informative and easy to follow.

All reviews

Showing: 20 of 168

Sunny Seth
5.0
Reviewed Jul 11, 2020
Emi Kolawole
5.0
Reviewed Dec 8, 2019
Bensen Alex
5.0
Reviewed Nov 12, 2020
Viola Banaj
5.0
Reviewed Oct 21, 2020
David Fuller
4.0
Reviewed Dec 29, 2019
Laleen Doerrer
5.0
Reviewed May 9, 2018
Jai Prakash
5.0
Reviewed Sep 28, 2018
Dmitriy Klevtsov
5.0
Reviewed Jul 14, 2017
Farhad Farrokhian
5.0
Reviewed Aug 15, 2023
Cian O'Carroll
5.0
Reviewed Aug 28, 2020
Matthew Wilson
5.0
Reviewed May 3, 2020
İbrahim Niftiyev
5.0
Reviewed Jun 14, 2023
阳 汪
5.0
Reviewed Feb 11, 2017
Andrei Stefanescu
5.0
Reviewed May 15, 2020
Mike Clements
5.0
Reviewed May 2, 2020
Andras Ikladi
5.0
Reviewed Dec 28, 2019
Ammar Khawam
5.0
Reviewed May 3, 2020
Dhinesh A D
5.0
Reviewed Jul 11, 2020
Bo Li
5.0
Reviewed May 7, 2020
Andrew Pohlmann
5.0
Reviewed Dec 9, 2019