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Learner Reviews & Feedback for Mastering Data Analysis in Excel by Duke University

4.2
stars
3,919 ratings

About the Course

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....

Top reviews

TB

Nov 16, 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

Oct 30, 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 of 935 Reviews for Mastering Data Analysis in Excel

By Olga

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Jun 2, 2016

given very useful material

By Jose J

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Dec 19, 2015

很有趣的课程，作为基础性的知识很好地引导了学生的兴趣

By JAVIER P

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Jun 13, 2018

Excellent. Unique tools.

By Nusrat J

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Nov 22, 2016

really awesome course...

By mikelvol1

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Sep 6, 2016

闲下来复习下概率也是挺好的，excel只是个幌子

By Into T S

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Feb 3, 2016

Really useful project :)

By Eduardo A H L

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Sep 30, 2020

Very usefull excelent !

By Anuoluwapo A

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Jul 18, 2020

Very interesting course

By Daniele R

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Aug 14, 2019

Very interesting course

By Andrew K

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Feb 16, 2016

Hard as hell, liked it.

By Giovanni V

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Jan 24, 2016

This is a great course.

By Manoj L

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Dec 11, 2015

Very Useful, Eye-opener

By Sarp O

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Sep 8, 2022

well designed coursee

By Latif S

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Jul 15, 2021

One of the best course

By Arjun I

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Aug 20, 2019

Very,very informative.

By chel o

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Jul 6, 2019

amazing! thank you all

By Kunal M

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Jun 26, 2017

course is very helpful

By Haoran L

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Dec 20, 2019

Dr. Egger is the best

By stps105

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Nov 14, 2015

Great Course! Thanks)

By Samir C

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Oct 22, 2015

This is just awesome.

By Zhou J

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Feb 6, 2016

很棒的组织

数学与Excel结合的非常密切

By Dinah S F

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Sep 14, 2022

it was really good

By Apurv J

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Feb 28, 2021

good learning skill

By Shivakumar

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Jun 15, 2020

the Course was good

By Meet L

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Sep 5, 2019

Excellent detailing