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

3,771 ratings
911 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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By Jagmohan M

Dec 28, 2018

Great !

By Liu Y

Oct 29, 2017

like it

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By Madeline K

Mar 16, 2021

This was a good course for anyone looking to learn advanced excel analytics techniques. I learned a lot and the quizzes and final project give sufficient hands on practice to go along with the videos.

The reason I am not giving this course 5 stars is because there were times when the instructor rushes through some of the concepts in the course. I had a hard time following along at times and had to do a lot of reading in the forums to understand how to complete the final project. I would not rate this as a beginner course, these are advanced data analytics techniques requiring using calculus and statistics in excel. There are also some errors in the quizzes and I found that the course mentors are not super active in the forums -- many of their posts and tips being from 3-4 years ago.

All that said, I don't want my review to deter folks from taking this course. I learned a lot and I feel very accomplished that I completed it and I am walking away with a thorough understanding of the topics. I'd still recommend this course to anyone who is willing to put in extra hours outside of the course to do your own research, spend time with the spreadsheets, and use the forums.