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

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## 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

TB

16 de nov de 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

30 de out de 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.

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## 401 — 425 de 916 Avaliações para o Dominando a análise de dados em Excel

por Valeria F

10 de mar de 2016

Excellent

por simran k

18 de dez de 2015

Great one

por Paula T B

21 de out de 2015

Excellent

por Anil K

31 de ago de 2020

too good

por sirsendu s

30 de jul de 2017

loved it

por Artem S A

14 de abr de 2016

Noiiice!

por Franco M

11 de jan de 2016

amazing!

por Mónica C

27 de dez de 2015

Awesome!

por Hector G

4 de set de 2020

perfect

por AshQiu

27 de nov de 2019

awesome

por Linda A L

30 de out de 2019

Exel'nt

por Jagmohan M

28 de dez de 2018

Great !

por Liu Y

29 de out de 2017

like it

por Cristian D A

13 de dez de 2015

GREAT!!

por Pramit A M

2 de nov de 2015

Awesome

por ABHISHEK K

18 de ago de 2021

g​reat

por Jose C S M

11 de fev de 2016

Great!

por Marica C

13 de dez de 2015

Great!

por HUILIN M

2 de dez de 2015

useful

por Raghav D

28 de ago de 2021

great

por DAMPANABOINA S

28 de nov de 2020

nice

por Arya s

28 de out de 2020

Best

por Md. R Q S

10 de out de 2020

good

por Dishant P

12 de fev de 2020

Nice

por Chirag K

27 de set de 2019

Good