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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

3,827 classificações
931 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


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


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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601 — 625 de 912 Avaliações para o Dominando a análise de dados em Excel

por Ravi D

30 de jan de 2016

Learning some great things!

por Jude O

24 de set de 2018

Very challenging to grasp

por Mmoloki M

22 de nov de 2020

REALY interesting course

por Jyoti K

7 de out de 2020

Very good course format.

por Eve D

20 de mai de 2020

Very interesting course

por raghav s

30 de dez de 2015

its very helpful course

por Nick P

19 de abr de 2020

few clear explanations

por Vardges Z

15 de dez de 2018

A lot of useful theory


19 de fev de 2022

v​ery good course

por Divya M

13 de mai de 2020

Excellent course!

por Pranshu J

29 de nov de 2015

Extremely helpful

por Raja K P

6 de out de 2016

Excellent Course

por Deepak S

11 de jul de 2017

Good course!

por Tan E

2 de fev de 2019

Very useful

por Chuang M

6 de fev de 2016

Good course

por Angel S

5 de fev de 2016

Very useful


1 de abr de 2021

its useful

por Felipe P

15 de dez de 2015


por Jay K P

3 de dez de 2015


por Zewei R

7 de ago de 2019

too hard

por Foo J W

17 de jun de 2020


por K C

4 de jan de 2016

Love it

por Ansar A K

26 de jun de 2021


por 121913901021 g

17 de dez de 2020


por Zhengfeng Y

25 de mai de 2016