Chevron Left
Back to Mastering Data Analysis in Excel

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

4.2
stars
3,764 ratings
910 reviews

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

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.

PW
Oct 13, 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

Filter by:

551 - 575 of 891 Reviews for Mastering Data Analysis in Excel

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.

By Lola G

Jul 1, 2019

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

By Mohtashim k

Nov 23, 2015

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

By Cheng D

Mar 23, 2018

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

By Yunxi C

Jul 10, 2017

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

By Rafael A

Jan 30, 2020

Great content, but some points could have been better explained

By BILAL A H

Jul 7, 2020

lacked proper guidance to complete end of the week assignments

By Richa S

Jun 26, 2020

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

By Ravindra K

Aug 22, 2021

Binary classification explanation should be more elaborated.

By Dayoung K

Nov 24, 2017

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

By Andreas H

Aug 28, 2017

The instructions for some of the exercises could be clearer

By Derek

Mar 28, 2016

Good course. Wish it was more hands on working with excel.

By Irene A

Jan 16, 2016

Clear and useful. But you need a text book to this course.

By Ioannis B

Sep 6, 2017

Good course, I would expect more in terms of modelling

By Colin R

Apr 2, 2018

Really enjoyed this course - thank you Mr Egger !!

By Oleg L

May 28, 2017

Interesting introduction to classification. Thanks!

By Eugenio A R G

May 31, 2016

It's just not only Excel...is mostly data analysis.

By Diana J

Feb 9, 2021

Necesita más explicaciones en algunos ejercicios.

By Yuduan L

Nov 5, 2015

A bit very difficult course...full of formula

By Aadithya V

Aug 31, 2016

A great course to learn excel for analytics.

By JITISHA G

Jul 31, 2021

It is genuinely a very informative course

By Kafu A

Mar 3, 2016

Great course, just a little too technical