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

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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


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 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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301 - 325 de 923 revisiones para Mastering Data Analysis in Excel

por K D

20 de abr. de 2021

Really good, challenging course.

por Vijay V

21 de mar. de 2021

Wonderful and insightful course.

por 何玉杉

5 de nov. de 2018

The course is very useful to me!

por Mikhail P

18 de jun. de 2018

Wonderful course in all aspects!

por Athanasios K

25 de jul. de 2017

Amazing and Very tough Course!!!

por Elena D

3 de jul. de 2017

Really good and complete course.

por Debjit M

15 de sep. de 2021

Productive learning and content

por Oscar R

9 de ene. de 2016

Very good teachers/instructors.

por Marcelo A S

29 de oct. de 2015

Exactly what I was looking for!

por Celine S

14 de mar. de 2016

learn lots of practical things

por Aida B S H

9 de nov. de 2015


por Andres F G P

2 de dic. de 2017

Very good learning experience

por Jean-Etienne K

3 de ago. de 2016

We learn a lot in this course

por Ashish K R

12 de may. de 2020

your lectures were the best.

por Mark S

27 de feb. de 2020

Great instruction and exams!

por ch s

9 de may. de 2017

Great. Thank you. Keep going

por 马杰

12 de abr. de 2016

Great contents and teachers!


26 de mar. de 2021


por Jessie H

29 de jun. de 2020

This course is very useful.

por Subrat S

11 de sep. de 2017

Nice Course. Nice Analysis.


28 de dic. de 2017

great course to learn basi

por 顏慷

18 de sep. de 2017

Too good to be true course

por Olga

2 de jun. de 2016

given very useful material

por Jose J

19 de dic. de 2015



13 de jun. de 2018

Excellent. Unique tools.