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Вернуться к Inferential and Predictive Statistics for Business

Отзывы учащихся о курсе Inferential and Predictive Statistics for Business от партнера Иллинойсский университет в Урбане-Шампейне

4.8
звезд
Оценки: 808
Рецензии: 162

О курсе

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/....

Лучшие рецензии

JC
10 дек. 2020 г.

I find the use of Excel after the lecture to be more useful in the real life.\n\nThe professor has a slower speaking speed so you may need to use 2x the speed.\n\nThe content is super useful.

SG
19 мая 2017 г.

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.

Фильтр по:

126–150 из 161 отзывов о курсе Inferential and Predictive Statistics for Business

автор: Pierre L

17 июня 2018 г.

Excellent course.

автор: Dmitrii I

30 апр. 2018 г.

Excellent course!

автор: Sayantan G

20 мар. 2018 г.

Excellent course.

автор: Kartikeyan S

16 дек. 2019 г.

Excellent course

автор: Fatima A

9 мая 2020 г.

Excellent class

автор: Ahmad U H

19 мая 2020 г.

great learning

автор: Andlib E

19 мая 2019 г.

Keeps promise.

автор: Ponciano R

9 февр. 2018 г.

Great lessons!

автор: Tong V C

19 дек. 2020 г.

Good business

автор: Sarath C R

23 авг. 2019 г.

superb course

автор: Alex C

27 сент. 2020 г.

Great class!

автор: Joe F

26 апр. 2019 г.

Great class!

автор: Dang P L K

18 мар. 2021 г.

very good.

автор: Tuấn P C

15 дек. 2020 г.

thanks!

автор: Bình N V

13 апр. 2021 г.

Great

автор: Nguyen H D

20 дек. 2021 г.

good

автор: Hoàng H C

16 мар. 2020 г.

Fine

автор: Trương K N

15 янв. 2020 г.

good

автор: Reza S

4 окт. 2020 г.

I started to enjoy the course once I started investing the correct amount of time and effort into on a daily basis.

автор: Alberto A U C

31 авг. 2020 г.

The course was good. However, the topic is complex at all. I'm surprised that this module is part of a MBA program.

автор: Avi G

27 окт. 2016 г.

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

автор: Ritwik B

1 янв. 2021 г.

Really helped me learn the basics of hypothesis testing and regression analysis. Fantastic course for beginners.

автор: Romain V

13 авг. 2016 г.

Well thought class by a very professional teacher. Easy to get access to a higher level of statistics.

автор: German E G T

10 июня 2020 г.

It is an excellent course for those who want to learn the basics on statistics and regression models.

автор: Mohammed M

27 нояб. 2020 г.

Wou;d have loved to have the course be improved by having live case studies