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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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226 - 250 de 923 revisiones para Mastering Data Analysis in Excel

por Tanmay S

10 de dic. de 2015

Very good those who want make their career in business analytic field


28 de nov. de 2015

This is very essential course for the analysis of data using MS Excel

por Basil H

20 de dic. de 2022

Very useful course and easy to understand step by step instructions

por Tamerlan I

1 de ene. de 2020

Great class to learn binary classification and prediction estimate.

por Li T

1 de ene. de 2016

very useful, but hopefully, there will be some slides for learning.

por Jeyhun N

24 de jun. de 2020

well organized, only was missing more details of specific problems

por Pedro A L M

8 de mar. de 2016

I really recommend this course. Very useful!!

Perfectly explained.


27 de ene. de 2022

really beneficial those who want to pursue career in data analyst

por Adelodun A

24 de dic. de 2020

excellent course. Learning new concept. The facilitator is superb

por Aparna D

9 de nov. de 2022

Good course to understand regarding data analysis through excel

por Deleted A

16 de oct. de 2017

I like the supplemental materials, which are all very helpful!

por Jean-Christian M O

22 de feb. de 2016

Great course. Relevant ad practical examples and case studies.

por Bhavya D

5 de mar. de 2021

This course is really good and intresting..Thank you so much.

por Sanni f O

28 de jul. de 2017

Great course. Can't wait to complete the whole specialization

por JOSE M A A

3 de feb. de 2016

I thank Prof. Daniel for the clear exposition of the course.

por Erin C

24 de ene. de 2016

very practical course with understanding of business context

por Daniel M

22 de ene. de 2016

great statistic refresher and hands-on experience with excel

por Partha G

3 de dic. de 2015

Great knowledge to build your own equity in decision making.

por Adrian H

2 de feb. de 2022

Very in depth knowledge and application of excel techniques

por Ming J

9 de nov. de 2016

Really great! Things taught in this course are useful.

por Shuang G

22 de dic. de 2015

Very good! Useful for both new learners and expertise.

por Sebastián O

17 de dic. de 2016

Muy buen curso para iniciarse en modelado estadístico

por Ian J

2 de feb. de 2016

Excellent instruction/instructor and great templates.

por TrinaA

16 de abr. de 2020

Very challenging class - I learned a lot! Thank you!

por Kubra K S

21 de sep. de 2016

Egger is very well instructor. The course is useful.