Chevron Left
Вернуться к Mastering Data Analysis in Excel

Отзывы учащихся о курсе Mastering Data Analysis in Excel от партнера Университет Дьюка

4.2
звезд
Оценки: 3,842

О курсе

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel....

Лучшие рецензии

TB

16 нояб. 2021 г.

I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University

JE

30 окт. 2015 г.

The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.

Фильтр по:

701–725 из 916 отзывов о курсе Mastering Data Analysis in Excel

автор: Izayas R J

22 февр. 2016 г.

The importance of this course is huge. However, I did miss better explanation from some topics...

автор: Santiago Y A

1 авг. 2016 г.

It's more statistics than Excel itself, wich is good but I think the name doesn't fit to it

автор: Stephanie H

24 мая 2018 г.

this course is to some extent too difficult for me, It is not easy for me to understand.

автор: VICTOR H Z T

22 нояб. 2015 г.

un poco complicado para mi creo q falta informacion en que apoyarme para los ejercicios

автор: 王伟

17 нояб. 2015 г.

it is too complicated for me this courese, not very useful for daily work. but anyway i

автор: Jared V

10 февр. 2016 г.

This course was over my head academically and I was able to glean very little from it.

автор: Chris H

12 дек. 2015 г.

They have a lot of good material. It will probably be better the second time around.

автор: Jongah K

2 нояб. 2019 г.

not recommend if you want to learn about Excel. More fore stat/analytics in general

автор: Qian W

12 мая 2016 г.

could have lecture more.... the videos talks little about the spreadsheet provided

автор: tressie p

12 июля 2020 г.

it seems like there need to be some prerequisities to this class, like finance.

автор: Samhita A

2 июля 2020 г.

It was a bit too fast and there is a lot of math formulas than I expected

автор: César R

5 июля 2016 г.

The order and content of the lessons wasn't planned with sufficient care.

автор: Alice S

31 авг. 2021 г.

A bit hard to underttand fully. Need more demostration and explaination.

автор: Sebastiaan B

17 авг. 2016 г.

The second test should be compulsory for also the non-paying students!

автор: sobhy k

30 июля 2021 г.

I think it is a course in statistics, there are many missing concepts

автор: Steven T

15 мая 2018 г.

The content was very useful but I felt that instruction was lacking

автор: demehin I

31 янв. 2016 г.

still needs a better way of explaining the diversity of the course

автор: Luke R

6 апр. 2017 г.

Good Course, but final project asks a lot for what this course is

автор: steven u

22 нояб. 2015 г.

Good intro and fundamentals, but focuses far too much on finance.

автор: Diogo H M d F T

7 июля 2016 г.

Superficial, esboça assuntos de estatística e mal fala do excel.

автор: 张之晗(ZhiHan Z

9 сент. 2017 г.

So many terminologies, can you talk those principles concisely?

автор: cherie

19 сент. 2016 г.

Very hard to comprehend for 6 weeks. But could have been great.

автор: Bernhard K

28 февр. 2016 г.

Way too theoretical. This is Excel, not Information Theory....

автор: Ernesto R

11 мар. 2016 г.

Not enough practices for the unexperienced students.

автор: Scott R

21 окт. 2020 г.

Definitely way more statistics than I expected.