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

3,909 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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376 - 400 of 934 Reviews for Mastering Data Analysis in Excel

By Chen X

Dec 5, 2017

hard but useful

By Rafael M

May 22, 2016

so far, so good

By Paul O

May 17, 2016

Detailed videos

By Tianju C

Nov 12, 2015

Perfect course!

By Bhaskar S

May 5, 2020

A great course

By Squirrel M

Sep 19, 2017

Tough but good

By Abdullah M

Mar 24, 2016

Really helpful

By 何欣

Jan 15, 2016

Very useful!!!

By Liga N N

Dec 15, 2015

really helpful


Dec 9, 2020

Great course.

By Manojkumar P H

Jan 4, 2018

super courses

By Ricardo B

Oct 24, 2017

Great course.

By Shuo T

Jun 27, 2017

Great course!


Jul 2, 2021

Really good

By Lingwei H

May 30, 2017

great course

By Rotyme007 O

Aug 29, 2022


By _ f

Jan 16, 2022

Learn a lot

By Aditya M P

Sep 29, 2020

Good course

By Inderpreet S S

Aug 12, 2020

Full Power!

By Prarit J

Jun 17, 2020

Good Course

By Shubham g

Nov 6, 2018

nice course


Nov 2, 2018

very useful

By Christian M

Oct 30, 2017


By Bruno H N

Apr 21, 2016


By Ibrahima D D

Jan 17, 2016

Great class