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

4.2
étoiles
3,559 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

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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## 101 - 125 sur 822 Avis pour Mastering Data Analysis in Excel

par anny r

13 déc. 2015

Thank you very much, the lesson is very useful to me. in order to understand what the necessity of a function. and the professor clearly explains everything in the right pace.

par Brett R

17 janv. 2017

I very much enjoyed this course. I've been able to apply some of the strategies I learned in the specialization and I look forward to using it as a resource moving forward.

par Ross C

15 oct. 2018

Challenging course, however very useful skills on leveraging Excel for data analysis. I enjoyed the examples as well as the class projects. Good mix of hands on an theory.

par Zhao M

19 nov. 2018

The course is designed very well and digs deeply into the usage of binary models. It will be great if more contents are offered about the multi-factor regression model.

par Prerna B

1 août 2020

great course to start data analytics with. The instructors have been very helpful and the content is great for anyone from intermediate to beginner level knowledge

par Kayla H

20 janv. 2018

This course was very helpful in refreshing my knowledge of Excel I had previously and including new tips and tricks for working in Excel that I didn't have before.

par Evandro M S R

15 déc. 2015

I teach quantitative methods in a Business course at University of São Paulo (Brazil). This is an excelent course with fundamentals and very usefull applications.

par Nicholas K

14 sept. 2020

Ever since I enrolled for this course, i have learnt a lot in excel and got a lot of challenges(quizzes) that helped master what i had learnt. Thank you Coursera

par Alison T

21 déc. 2015

This course was a great recap in math/statistics that I had totally forgotten about. Things were explained clearly, and the application of concepts was practical

par Vivek S

26 sept. 2016

Excellent Course!! Great insight on binary classification model !! I recommend this course to anyone who is looking to master data analysis skills using Excel.

par Jennifer L

24 janv. 2019

Lots of information in a short period of time. Last Final was challenging to say the least, but by reading the Discussion Form you are able to get through it.

par 王玮

30 déc. 2019

very useful and straight forward course. excel is a handy and useful tool for everyday work and study, learning excel VBA and solver plug-in helps me a lot.

par khalid m

18 août 2016

The course is built around people doing/studying business and economics. I am a scientist but I still learned a lot from it. The course is very practical.

par Mike S

6 nov. 2015

GREAT ClASS!!!....The instructor is very good at explaining difficult topics the spreadsheets are very clear and comprehensive really enjoying this class

par Atish S

30 août 2017

Statistics knowledge can be extremely helpful. Conceptually and course design is sufficient to explain what all is required to make a predictive model.

par Niklank J

18 avr. 2020

Precise, informative and challenging for a beginner. Hopefully, others take this course if they wish to understand the regression models from scratch.

par Saurabh K S

8 juin 2020

A good course to start building primitive analysis models. Teaching and assignments are to the mark and assist in understanding the concepts better.

par Xi L

31 juil. 2017

I don't suggest to starters without econometrics or statistics knowledge, but the course is a quite systematic with elaborate examples or templates.

par Hitan H C D

12 nov. 2020

It is a tough course but if you finish it you gain a lot of knowledge about statistical analysis and application using excel! I really enjoyed it!

par Amrisha

4 juin 2017

The instructor has taken every possible care to present the content in a very lucid manner, decked with illustrative examples and case analytics.

par ALVIN S S M 2

17 juin 2020

Really Intuitive course, and I really enjoyed the course content. The course is the best option if you are starting out as a Business Analyst.

par Javier L

28 nov. 2017

A very challenging course with lots of Information that will help you excel in statistics or at least gain a profound knowledge in this field.

par Galina

13 janv. 2016

Thank you very much for great course.

I have some difficult with this course and I did not finish it. Whatever the course was very interesting.

par Ndilisa M

28 sept. 2017

Great course!

I would have liked more practical linear regression example. This course has both been challenging and informative! Thank you.

par kamran s

4 juin 2018

I joined the course to learn some Excel but end up learning about Data Analysis. I enjoyed it very much it was tough but very informative.