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Exploring and Producing Data for Business Decision Making(으)로 돌아가기

Exploring and Producing Data for Business Decision Making, 일리노이대학교 어버너-섐페인캠퍼스

4.8
353개의 평가
69개의 리뷰

About this 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 onlinemba.illinois.edu....

최상위 리뷰

대학: DA

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!

대학: EW

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.

필터링 기준:

66개의 리뷰

대학: Suman Dutta

May 18, 2019

grea

대학: Cary Svendsen

May 15, 2019

Great lectures and great examples and everything in this course worked correctly, unlike in other Coursera courses I have taken.

대학: Erica Witte

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.

대학: Kevin Cochran

Apr 17, 2019

Too many quiz questions that often have to go back to review videos and answers aren't clear after watching. Have to open MULTIPLE EXCEL files. Just open one with multiple tabs

대학: Archana V

Apr 16, 2019

Excellent teacher!

대학: Rakesh Dhaka

Apr 12, 2019

Course is well organized to give a good overview of statistics.

대학: Li Yuan-Nazarko

Apr 10, 2019

This is a very informative course. Easy to follow and understand. Lots of real examples. Strong recommendation.

대학: Sivaswami Jeganathan

Apr 09, 2019

good practical experience with Statistics. Thanks

대학: Veronica Selvarajan

Apr 08, 2019

excellent!

대학: Jacques Pierre Prinsloo

Apr 08, 2019

Good intro to statistical foundations. Would be great if all questions that involve Excel were in one Excel file