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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

3,844 classificações

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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276 — 300 de 916 Avaliações para o Dominando a análise de dados em Excel

por Mohammad U

26 de ago de 2016

First step toward becoming data scientist.

por Austin K

1 de jun de 2017

pretty clear explanation for new learner

por Danny I

14 de mai de 2016

Dense! Very Dense. Cool testing methods.

por Esther-Alexandra N

30 de dez de 2020

Great course that challenges you a lot.

por Anirudh R

21 de set de 2016

Excellent Faculty and robust coverage!!

por Saurabh S

5 de mar de 2016

Goto course ...... very nice ....... :)

por Rogelio R G

26 de out de 2015

Excellent Idea and concept, thank you!

por Daniel K

21 de nov de 2020

Pretty hard course but great lectures

por Philip L

24 de set de 2016

Very practical course! Learned a lot.

por konglingyu

27 de mai de 2018

1 start for its so hard to find data

por Ashish M

7 de fev de 2017

Teaching method of Daniel is awseome


13 de jun de 2016

Excellent explanation and examples..

por Chandler

24 de mar de 2016

very helpful and useful in real case

por balaji p

19 de jan de 2016

Good content and practical examples.

por Huiquan L

2 de jan de 2016

Extremely useful and easy to follow!

por charul s

29 de mar de 2020

It was a great learning experience!

por Tataru A A

7 de mai de 2020

We sincerely thank the teachers!!!

por Liwei K

6 de dez de 2015

it's my first course on coursera .

por Oscar D

16 de set de 2020

Excellent course! Great teacher!!

por Oscar E Q E

31 de mai de 2018

it is the great course ¡¡¡¡¡¡¡¡¡¡


31 de mar de 2016

Easy understanding and practical.

por Stevie X Y

22 de mar de 2016

Good content but badly structured

por Amy A

7 de nov de 2021

great for beginners, challenging

por Kevin D

20 de abr de 2021

Really good, challenging course.

por Vijay V

21 de mar de 2021

Wonderful and insightful course.