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Mastering Data Analysis in Excel, Duke University

4.2
2,833 ratings
634 reviews

About this 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

By JE

Oct 31, 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.

By NC

Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

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615 Reviews

By Achmad Raka Anjani

May 21, 2019

its a good course but maybe in the future you can add another case for participants to build another model beside bank credit model

By KRUTI SHAH

May 08, 2019

I would not recommend this course to any one. The things they teach in videos and questions they ask on test are pretty different. First few things are fine then the course turns the other way

By Soukaina Kanice

May 02, 2019

Excellent course, I learnt a lot and really enjoyed it. Definitely recommend !

By Matthew Traitses

Apr 30, 2019

There were a lot of holes in the teaching of this class. We covered more statistics content than I did in my full-time MBA statistics class over a few 10 minute YouTube videos. Additionally, there is some calculus which I have not studied in 10 years or so. I would have liked to see more excel functionalities explained to add to my tool bag. With all that being said, I learned from the class and enjoyed some of the spreadsheets that were provided. I expected to be challenged since the course is done through a prestigious university and definitely was.

By Doug Johnson

Apr 29, 2019

Very comprehensive. Lot of theory and practical. My request would be to add a week focusing on a couple models and a couple methods to select metrics and validate confidence.

By valentine Muhonja

Apr 12, 2019

Great course improves data analysis insight

By 何泽林

Apr 12, 2019

There are some problems with the spreadsheet, which cost me truly a lot of time.

By Rajat Kapoor

Apr 06, 2019

great course got great knowledge about the models used for data analysis

By ctvv3010

Apr 02, 2019

I like the course but sometimes the instructions are not clear enough. The learning materials are good. Yet I feel it takes so much time to finish the course because I feel not being instructed clearly.

By Aysharjo Hassan

Mar 28, 2019

really helped me understand the material for my job