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学生对 Duke University 提供的 Mastering Data Analysis in Excel 的评价和反馈

4.2
3,941 个评分

课程概述

This course focuses on essential data analysis using Excel. Learn to design and implement realistic predictive models to reduce uncertainty for informed business decisions. In a hands-on project, you'll act as a business data analyst, building models to assess credit card applications, minimize default risk and maximize bank profits. You'll master key uncertainty measures like classification error rates, entropy of information, and confidence intervals for linear regression. Assignments use data provided within the course and basic Excel functions, ensuring fluency for future business applications. No prior knowledge of advanced Excel features (Visual Basic, Pivot Tables) is required. The Excel and data analysis skills you will learn will enable you to apply business data analysis methods based on binary classification, information theory and entropy measures, and linear regression, and prepare you for roles such as a business data analyst....

热门审阅

TB

Nov 16, 2021

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

Oct 30, 2015

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.

筛选依据:

726 - Mastering Data Analysis in Excel 的 750 个评论(共 942 个)

创建者 Izayas R J

Feb 22, 2016

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

创建者 Santiago Y A

Aug 1, 2016

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

创建者 Stephanie H

May 24, 2018

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

创建者 VICTOR H Z T

Nov 22, 2015

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

创建者 王伟

Nov 17, 2015

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

创建者 Jared V

Feb 10, 2016

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

创建者 Chris H

Dec 12, 2015

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

创建者 Jongah K

Nov 2, 2019

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

创建者 Qian W

May 12, 2016

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

创建者 Thuong N T

Feb 28, 2023

This course is challenging for me. I don't completely understand all knowledge.

创建者 tressie p

Jul 12, 2020

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

创建者 Samhita A

Jul 2, 2020

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

创建者 César R

Jul 4, 2016

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

创建者 Sebastiaan B

Aug 17, 2016

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

创建者 Sobhy K

Jul 30, 2021

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

创建者 Steven T

May 15, 2018

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

创建者 demehin I

Jan 31, 2016

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

创建者 Luke R

Apr 6, 2017

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

创建者 steven u

Nov 22, 2015

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

创建者 Diogo H M d F T

Jul 6, 2016

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

创建者 张之晗(ZhiHan Z

Sep 8, 2017

So many terminologies, can you talk those principles concisely?

创建者 Cherie L

Sep 19, 2016

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

创建者 Bernhard K

Feb 28, 2016

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

创建者 Ernesto R

Mar 11, 2016

Not enough practices for the unexperienced students.

创建者 Scott R

Oct 21, 2020

Definitely way more statistics than I expected.