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

3,882 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


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


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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551 - 575 of 925 Reviews for Mastering Data Analysis in Excel

By Cliff E

May 23, 2017

Very challenging but helpful! I will hold on to and reference the course material for a long time.

By Hubert D

Jan 31, 2016

It's not only basic Excel course but you can learn a lot of useful Excel functions like log or ln.

By Michael N

Jul 18, 2017

This course is hard and fast paced. Expect to stretch yourself and retrace steps to complete it.

By Samantha C

Sep 20, 2016

I work with excel and thousands of lines of data everyday. I found this class to be challenging

By Chao Z

Nov 19, 2015

Good topic and resources to learn. However the business terminologies sometimes are confusing.

By Alan W

Aug 14, 2017

Very informative, but did not include a lot of analysis work with Excel. Not what I expected.

By Sambhrant S

Feb 2, 2016

I believe pivot tables also plays a big part in Excel, wish they could incorporate that too.

By Rev. K T

Dec 16, 2015

Very challenging and wish there were more exercises throughout to strengthen understanding.

By Geovanna

Feb 14, 2016

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

By Govind S

Feb 7, 2016

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

By Juan P A

Dec 14, 2015

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

By Marco M

Jul 9, 2020

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

By Deleted A

Feb 10, 2017

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

By Pitch S

Oct 25, 2015

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

By Natalie L

Jan 14, 2016

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

By Steve T

Jan 15, 2016

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

By Rommy O R G

Apr 13, 2020

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

By sina t

Jun 16, 2017

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

By m.umair r

Nov 6, 2015

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

thank you COURSERA

By Christopher M

Oct 9, 2017

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

By smily a

Jan 8, 2016

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

By Alia E

Jan 20, 2017

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

By Jose A L M

Dec 28, 2015

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

By Muhammad A

Nov 18, 2015

Thanks to Duke university for offering these professional courses free

By Jakub K

Jun 9, 2016

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