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

4.2
estrellas
3,827 calificaciones
•
931 reseña

Acerca del 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....

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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901 - 912 de 912 revisiones para Mastering Data Analysis in Excel

por Maher M

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19 de dic. de 2015

im in week 4 , cant master data analysis in Excel

por Yuriy G

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13 de jul. de 2016

Title misleading. Never ever a beginners course.

por Ivan F F R

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27 de nov. de 2015

Seria genial si tuviera traducciones al español

por Albi K

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3 de ene. de 2020

Explanation is poor, no feedback on Quizes.

por Vusal N

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5 de dic. de 2020

terrible designe of coursera annoyyed me

por влад

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24 de may. de 2016

It is very easy and unusefull course.

por thomas

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7 de sep. de 2017

way to much math, not practical.

por Elina L

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10 de feb. de 2016

Too advanced, not enough Excel

por Ada M C

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8 de mar. de 2016

Nimic despre baza excel-ului!

por Dhannya K

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3 de jun. de 2017

examples are very poor

por R M k

•

22 de jul. de 2020

Not for Beginners.

por Tekla F

•

13 de may. de 2018

Very hard.

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