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# Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

4.2
étoiles
3,764 évaluations
910 avis

## À propos du cours

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....

## Meilleurs avis

JE
30 oct. 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.

PW
13 oct. 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

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## 676 - 700 sur 891 Avis pour Mastering Data Analysis in Excel

par Despoina E

3 févr. 2016

It's quite interesting, but definitely not a beginners one. I'm put off quite a bit by the exclusively financial examples

par Milan M

21 janv. 2016

after the second week I droped this course...I thought it will include excel and economics knowledge but was very wrong..

par Avulapati N

21 août 2020

The course content is great and the instructor also explained concepts well!

The course assignments are outdated tough.

par subramanian a

9 janv. 2016

The later part of the sessions lacks practical applicability and it is more abstract, that I find difficult to relate

par Rotimi

7 mai 2016

It's too advanced for people with no experience in statistics and sometimes too abstract to relate with

par B. A N

2 juil. 2020

The course was informative but needed more examples to understand the concepts like the final example.

par Camilo E S C

19 janv. 2020

Really bored... now, I want to change and they charge me more for that. what a bad service, just money

par Izayas R J

22 févr. 2016

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

par Santiago Y A

1 août 2016

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

par Stephanie H

24 mai 2018

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

par VICTOR H Z T

22 nov. 2015

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

par 王伟

17 nov. 2015

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

par Jared V

10 févr. 2016

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

par Chris H

12 déc. 2015

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

par Jongah K

2 nov. 2019

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

par Qian W

12 mai 2016

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

par tressie p

12 juil. 2020

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

par Samhita A

2 juil. 2020

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

par César R

5 juil. 2016

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

par Alice S

31 août 2021

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

par Sebastiaan B

17 août 2016

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

par sobhy k

30 juil. 2021

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

par Steven T

15 mai 2018

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

par demehin I

31 janv. 2016

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

par Luke R

6 avr. 2017

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