Voltar para Dominando a análise de dados em Excel

# Comentários e feedback de alunos de Dominando a análise de dados em Excel da instituição Universidade Duke

4.2
2,983 classificações
661 avaliações

## Sobre o curso

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....

## Melhores avaliações

##### JE

Oct 31, 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.

##### NC

Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

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## 126 — 150 de {totalReviews} Avaliações para o Dominando a análise de dados em Excel

por Pedro A L M

Mar 08, 2016

I really recommend this course. Very useful!!

Perfectly explained.

por Nikhil S

Aug 09, 2016

I would like to recommend for every beginner who wants to learn data analytics!

por Elena D

Jul 03, 2017

Really good and complete course.

por mikelvol1

Sep 07, 2016

por Galina

Jan 13, 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.

por Eugene T

Dec 20, 2015

Very challenging course that is very insightful in the use of Excel for Data Analysis

por Sultan A

Feb 09, 2016

Very nice course.

por Akshay K

Mar 29, 2017

Resources provided are very good in quality, completeness, easy to understand, and clear for neophyte.

Feb 07, 2016

So far so good!!

por danesh j

Nov 17, 2015

No need to learn Excel so I'm to focus on the content. The professor examples are clear and like that he provides different perspectives to looking at a problem and makes it visual as well in order to conceptualized the idea first so I can commit it to my mind.

por Andres F G P

Dec 03, 2017

Very good learning experience

por Simran K

Dec 18, 2015

Great one

por Pramit A M

Nov 02, 2015

Awesome

por Karen H

Jan 22, 2016

Very informative, and very challenging! The final project really challenges you to pull all of the concepts together in a real-world situation. That process helped solidify my understanding of the concepts.

Would have liked to have had more explanation on linear regression, but overall everything was great. I have a much more concrete understanding of the basics of data modeling.

por winnielou

Oct 24, 2016

k

por Ge W

Jun 18, 2017

Practical tools, models and templates are very sufficient in this course. It really guide me to a new world of data analysis.

por Masba

Nov 28, 2015

This is very essential course for the analysis of data using MS Excel

Aug 14, 2016

This is not a basic excel training. The title is appropriately set as "Mastering" Data Analysis in Excel...

por Paul J H L

Feb 24, 2016

This is my first Coursera course and I wasn't sure what to expect. I was hoping for a good experience but preparing myself for mediocrity.

I finished the course at 2am on Monday morning and I've been really impressed, both with the Coursera "infrastructure" and with the quality of the teaching from Daniel Egger and his team. I live in South Africa where tertiary educational standards vary widely, and appear to be on the decline. More and more, we are going to need MOOCs like this from the best universities in the world.

More specifically, relating to this course, I found the video lectures well presented and the quizzes thoughtfully prepared. The Excel models really helped with grasping the concepts and practice.

A couple of suggestions:

a) The course FAQ makes light of the background knowledge necessary to cope with the course. It needs to be more honest about the need for mathematics and statistics. Linear regression is not for sissies, in my opinion.

b) Please tell us at the START of the course that we should attack the project week by week. This advice isn't (unless I missed something) given until you open the week 6 project. Ahem... it's too late by then! I spent a very frantic 4 nights last week crunching the project work, 4 quizzes and the assignment. I got to bed at 2.30am, and i'm not a night owl.

Overwhelmingly though, a really interesting course. I'm already starting the next one.

por Zhou J

Feb 07, 2016

por LE Z

Apr 17, 2016

I hope the video could show me more about how to do these entropy calculations in Excel

por Brett R

Jan 17, 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.

por balaji p

Jan 19, 2016

Good content and practical examples.

por rohit v

Feb 06, 2016