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Opiniones y comentarios de aprendices correspondientes a Mastering Data Analysis in Excel por parte de Universidad Duke

4.2
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3,874 calificaciones

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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....

Principales reseñas

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 oct. 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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326 - 350 de 923 revisiones para Mastering Data Analysis in Excel

por Nusrat J

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22 de nov. de 2016

really awesome course...

por mikelvol1

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6 de sep. de 2016

闲下来复习下概率也是挺好的，excel只是个幌子

por Sandeep K Y

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3 de feb. de 2016

Really useful project :)

por Eduardo A H L

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30 de sep. de 2020

Very usefull excelent !

por Anuoluwapo A

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18 de jul. de 2020

Very interesting course

por Daniele R

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14 de ago. de 2019

Very interesting course

por Andrew K

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16 de feb. de 2016

Hard as hell, liked it.

por Giovanni V

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24 de ene. de 2016

This is a great course.

por Manoj L

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11 de dic. de 2015

Very Useful, Eye-opener

por Sarp O

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8 de sep. de 2022

well designed coursee

por Latif S

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15 de jul. de 2021

One of the best course

por Arjun I

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20 de ago. de 2019

Very,very informative.

por chel o

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6 de jul. de 2019

amazing! thank you all

por Kunal M

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26 de jun. de 2017

course is very helpful

por Ken L

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20 de dic. de 2019

Dr. Egger is the best

por stps105

•

14 de nov. de 2015

Great Course! Thanks)

por Samir C

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22 de oct. de 2015

This is just awesome.

por Zhou J

•

6 de feb. de 2016

很棒的组织

数学与Excel结合的非常密切

por Dinah S F

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14 de sep. de 2022

it was really good

por Apurv J

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28 de feb. de 2021

good learning skill

por Shivakumar

•

15 de jun. de 2020

the Course was good

por Meet L

•

5 de sep. de 2019

Excellent detailing

por RUSI L

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27 de abr. de 2017

Very useful course.

por OKAI-BONSU B

•

15 de ene. de 2016

good course for all

por Armaghan

•

14 de dic. de 2015

very good training.

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