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Learner Reviews & Feedback for Exploring and Producing Data for Business Decision Making by University of Illinois at Urbana-Champaign

451 ratings
92 reviews

About the Course

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. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. 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 the use of Excel and 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. Upon successful completion of this course, you will be able to: • Summarize large data sets in graphical, tabular, and numerical forms. • Understand the significance of proper sampling and why you can rely on sample information. • Understand why normal distribution can be used in so many settings. • Use sample information to infer about the population with a certain level of confidence about the accuracy of the estimations. • Use Excel for statistical analysis. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and

Top reviews


May 15, 2018

The separation of the concepts and Excel skills made the lessons very easy to navigate. Although I knew the concepts from a previous statistics course, the Excel skills made everything feel like new!


Jun 02, 2019

Very useful for beginners as well as anyone interested in learning some basics. Highly recommended for managers and people trying to figure out what insights can be obtained form data

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26 - 50 of 88 Reviews for Exploring and Producing Data for Business Decision Making

By Todd J F

Apr 01, 2018


By Michael

Jan 08, 2018

Clear direction and easy to follow. Great intro to implementing a statistical approach in data analyses.

By Charlotta S R

Jan 17, 2017


By Libor T

Jul 23, 2017

hard but interesting

By Tamara M

May 24, 2017

Exceptional instructor and concise, useful teachings.

By Dmitrii I

Apr 19, 2018

great course!

By Do H L

Jun 26, 2016

Good revision for data analysis using Excel.

By Arun P R S

May 30, 2017

Great lectures and useful for Business decision making.

By Pierre L

Jun 17, 2018

Excellent course.

By Juan T

Nov 15, 2017

Great course. Conductor is exceptional, knowledgeable and professional.

By Keith M K

Jan 17, 2017

Good instructor. Straight forward material.

By Sudhan K

May 09, 2018

Well organized !!

By Vivek B

Apr 07, 2018

Excellent Course - Great learning!

By Vusal T K

Aug 23, 2016

Great explanation!

By Heidi M

Apr 11, 2018

Prof Fataneh is amazing!!

By Dmitriy K

Aug 17, 2017

Do you want clear explanations and many examples to understand sampling process and confidence interval magic? Then this course is the best one for you to get understanding and practice.

By Subrat G

May 20, 2017

Great course content and teaching. I highly recommend.

By Viktoriia G

Apr 23, 2017

Well done!

By Michael R

Apr 22, 2018

Great course and structure. Professor was great.

By Renier S

Feb 01, 2017

I had audited so many courses until I found this one. The best!!!

By Siya L

Oct 23, 2018

Excellent, easy to understand and the skills are very practical!

By Lalit S

Jul 25, 2018

Practical Statistics that helps you get to the truth of numbers..

By Archana V

Apr 16, 2019

Excellent teacher!

By Joe F

Apr 04, 2019

I really enjoyed the course. The professor explained the topics very clearly and made a difficult topic very interesting and compelling.

By Erica W

Apr 19, 2019

This professor does an exceptional job of breaking down complex concepts and calculations without diluting the material. The statistical examples are highly relevant and interesting.