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

3,560 évaluations
842 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

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.

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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776 - 800 sur 822 Avis pour Mastering Data Analysis in Excel

par WEI H

29 juin 2020

I don't even want to give 1 star even. The videos do not match the quizes at all. You have to put in much much more time on the useless sheets it provided, and they call it as practical experience! It's probably the worst course I've encountered on Coursera. Don't enroll it.

par Camilla O

8 mars 2016

Content is not well organized, videos are disconnected from one another, explanations are not clear, spreadsheets contain vast information that is not explained anywhere. It is been quite difficult to follow through the course and I bet many students are giving up.

par Eduardo S H

22 janv. 2016

Being honest, the lessons in the course are disconnected with the weekly tests, specially for the final exam. Professor Daniel Egger and his assistan MUST improve the lessons, including examples step by step specially for the multiple linear regression su

par Ketian Y

21 févr. 2017

Not very helpful for those with a solid statistical background. I prefer to use R to do the modeling things, while this course should talk more about pivot tables and existing useful financial functions which advantage over other statistical tools.

par Mohamad H

10 juil. 2016

Really unhappy with how difficult and over complicated it is. I came here to learn about Excel. Pivot tables? functions? The course really loses focus and its unfortunate that I am now stuck here and cannot continue the entire specialization.

par Omarov Ü

4 juil. 2020

I can't even convey my frustration. Terrible course with a terrible teacher and misleading name. At the end of the course you don't learn any practical skills in Excel. Just avoid this course if you looking for practical knowledge

par Nicole P

12 déc. 2015

Very confusing lectures, he says you don´t have to have a basic level of excel to do the course but I didn´t find that true. Struggled through all of the lecture videos and the quizzes seemed to come out of left field.

par Aaisha A

5 juil. 2020

No concept was shown in Excel, it was just like paper and pen, the traditional one. And the professor was eating half of the words in between. Please explain all the concepts using excel. this course is a total waste.

par Dan L

22 janv. 2016

In the course info this is described as the first course in the series and that it requires no prior knowledge but the first week quiz contains questions referring to an equation 'discussed in the previous course'.

par Erik B

11 févr. 2016

Given this is the third (or fourth) iteration of this course, it's telling that the errors from the original release remain in the videos and quizzes. There are other, higher-quality Data Science MOOCs available.

par Abhiroop B

18 avr. 2020

The Audio is not audible properly and the course material is not explanatory. The content and the quizzes or tasks dont add up. I had to often refer to google to find the modeling ideas.

par sagar c

24 mars 2016

The course structure is not thoughtfully prepared. There is a lot of confusion around what the instructor wants to say. The practice quizzes and course content have no match whatsoever


14 nov. 2015

Don't know how to apply the statistics and excel formula in real world situation. Besides, it becomes focus on approving statistics equation than teaching data analysis in excel

par Iselie I

10 août 2016

En mi opinion es un tema muy interesante sin embargo cuesta entender lo que el profesor está diciendo por lo que es muy dificil llevar el ritmo del material...

par Esuene S

24 avr. 2016

Poorly coordinated lectures. References to resources that are not provided. No response (at least, for days on end) when questions are posted on the forums

par Roberto K

13 avr. 2016

Interesting statistical concepts, and great theory. However, the lectures and the quizzes do not prepare the student well for the final project.

par Siamak R

31 août 2020

Not a well structured course at all. There is not much clear explanation on the subjects. You pretty much need to figure it out by yourself.

par Josh H

15 déc. 2017

Terrible course, almost no focus on Excel and the lectures were incomprehensible. Please redo this class with Dr. Borg teaching it.

par Inna G

17 nov. 2020

not about data analysis in excel, but mostly how to create models, not related to real life and very hard to grasp

par Richard C

11 nov. 2015

Where is the course study material and are you providing a book on this subject and Excel? You have me lost.

par Rahul K

17 août 2020

Really bad course, teaches stuff which are very basic and then the tests are really nothing based on that

par Aizaz S

6 déc. 2015

absolutely one of the worst courses... I am deleting it from my list.

no slides make it harder to follow.

par Alexey E

27 déc. 2015

the course neither explains statistics properly, nor teaches how to use excel effectively, disappointed

par Elias R F

15 sept. 2016

This is more of an introduction to statistics lesson than one in excel... not what I had signed up for

par Alex B

6 févr. 2017

Not enough detail and information provided in the lectures to undertake the final assessment.