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

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

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.

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.

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276 - 300 of 891 Reviews for Mastering Data Analysis in Excel

By konglingyu

May 27, 2018

1 start for its so hard to find data


Feb 7, 2017

Teaching method of Daniel is awseome


Jun 13, 2016

Excellent explanation and examples..

By Chandler

Mar 24, 2016

very helpful and useful in real case

By balaji p

Jan 19, 2016

Good content and practical examples.

By Huiquan L

Jan 2, 2016

Extremely useful and easy to follow!

By charul s

Mar 29, 2020

It was a great learning experience!

By Tataru A A

May 7, 2020

We sincerely thank the teachers!!!

By Liwei K

Dec 6, 2015

it's my first course on coursera .

By Oscar D

Sep 16, 2020

Excellent course! Great teacher!!

By Oscar E Q E

May 31, 2018

it is the great course ¡¡¡¡¡¡¡¡¡¡


Mar 31, 2016

Easy understanding and practical.

By Stevie X Y

Mar 22, 2016

Good content but badly structured

By Kevin D

Apr 20, 2021

Really good, challenging course.

By Vijay V

Mar 21, 2021

Wonderful and insightful course.

By 何玉杉

Nov 5, 2018

The course is very useful to me!

By Mikhail P

Jun 18, 2018

Wonderful course in all aspects!

By Athanasios K

Jul 25, 2017

Amazing and Very tough Course!!!

By Elena D

Jul 3, 2017

Really good and complete course.

By Debjit M

Sep 15, 2021

Productive learning and content

By Oscar R

Jan 9, 2016

Very good teachers/instructors.

By Marcelo A S

Oct 29, 2015

Exactly what I was looking for!

By Celine S

Mar 14, 2016

learn lots of practical things

By Aida B S H

Nov 9, 2015


By Andres F G P

Dec 2, 2017

Very good learning experience