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

4.2
stars
3,935 ratings

About the Course

This course focuses on essential data analysis using Excel. Learn to design and implement realistic predictive models to reduce uncertainty for informed business decisions. In a hands-on project, you'll act as a business data analyst, building models to assess credit card applications, minimize default risk and maximize bank profits. You'll master key uncertainty measures like classification error rates, entropy of information, and confidence intervals for linear regression. Assignments use data provided within the course and basic Excel functions, ensuring fluency for future business applications. No prior knowledge of advanced Excel features (Visual Basic, Pivot Tables) is required. The Excel and data analysis skills you will learn will enable you to apply business data analysis methods based on binary classification, information theory and entropy measures, and linear regression, and prepare you for roles such as a business data analyst....

Top reviews

TB

Nov 17, 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 31, 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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576 - 600 of 941 Reviews for Mastering Data Analysis in Excel

By Geovanna

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Feb 15, 2016

The training course excellent however I would like to find the quiz for the week number 1

By Govind S

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Feb 7, 2016

Very helpful course. Intense concepts covered and good examples to master them. Thanks!

By Juan P A

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Dec 14, 2015

Amazing to get a grasp on the concepts! Might need further inmersion on the Excel area

By Marco M

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Jul 9, 2020

It´s supposed that I would receive a Certificated, I completed the course and nothing

By Deleted A

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Feb 10, 2017

A bit too academic, I would like to see explanations on Excels and business cases.

By Pitch S

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Oct 25, 2015

It's very useful to learn how excel able to handle different mathematical models

By Natalie L

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Jan 14, 2016

Good content, some materials were difficult but the video lecture were rushed.

By Steve T

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Jan 15, 2016

Good but the final project could have been setup up with better instructions.

By Rommy O R G

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Apr 13, 2020

Excellent approach of this course, more real case escenarios could be great.

By sina t

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Jun 16, 2017

Last part of the class was a bit confusing. need more explanation on that.

By m.umair r

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Nov 6, 2015

A very good COURSE....i was looking it sinc a long time

thank you COURSERA

By Christopher M

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Oct 9, 2017

A bit ponderous at times. Lots of digression, with limited context given.

By smily a

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Jan 8, 2016

Great course... Self Explanatory.. Loved the details.. Must take this one

By Alia E

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Jan 20, 2017

It's not Excel... it's applied probability theory using Excel workbooks.

By Jose A L M

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Dec 28, 2015

If we would have use a real example to explain the concepts prof Eagger

By Muhammad A

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Nov 19, 2015

Thanks to Duke university for offering these professional courses free

By Jakub K

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Jun 9, 2016

Be prepared to study a lot as the material is comprehensive and vast.

By Lola G

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Jul 1, 2019

Very good course! It's not easy, practical and really interesting.

By Mohtashim k

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Nov 23, 2015

This course really helps in doing Analytics with the help of EXCEL

By Cheng D

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Mar 23, 2018

hope there can be clear answers for each assignment in the future

By Yunxi C

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Jul 11, 2017

Extremely hard! However I learned a lot! Totally worth the time!

By Rafael A

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Jan 30, 2020

Great content, but some points could have been better explained

By BILAL A H

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Jul 7, 2020

lacked proper guidance to complete end of the week assignments

By Richa S

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Jun 26, 2020

Its a good course to do if you are really interested in excel.

By Dayoung K

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Nov 25, 2017

It's a productive course but there are quite tough projects.