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Mastering Data Analysis in Excel に戻る

デューク大学(Duke University) による Mastering Data Analysis in Excel の受講者のレビューおよびフィードバック



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....



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.


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.


Mastering Data Analysis in Excel: 276 - 300 / 661 レビュー

by 何玉杉

Nov 06, 2018

The course is very useful to me!

by Shubham G

Nov 06, 2018

nice course

by Houda A I

Nov 13, 2018

The course is very enjoyable. The mathematics behind is sometimes challenging. But the Final Project makes it all worth it.

by Zhao M

Nov 19, 2018

The course is designed very well and digs deeply into the usage of binary models. It will be great if more contents are offered about the multi-factor regression model.

by Rezaan H

Sep 29, 2018

Good content, broad and well tested but definitely

by Jitesh g

Dec 02, 2018

One of the best course that i have ever done. Just make a patience and repeat the lecture if u find any difficulty , every time you realise that you are increasing your capablities or knowledge in Data Analytics sector.I will surely recommmcend this course .

by chel o

Jul 06, 2019

amazing! thank you all

by Rajat G

Jul 07, 2019

Amazing .. The model predictions are really helpful and the course content made it a lot easier to understand. Kudos

by Nhan T N

Jul 11, 2019

Great course for essential knowledge in Excel!

by Daniele R

Aug 15, 2019

Very interesting course

by Arjun S

Aug 20, 2019

Very,very informative.


Aug 25, 2019

This course is superb! although the contents are tough but they are essential skills that vital to survive real world data analysis. Also, it gives me more confidence that I will hit my dream job very soon.

by Chirag K

Sep 27, 2019


by Kevin M M

Sep 28, 2019

J'ai énormément apprécié la qualité des vidéos, des exemples pratiques, des exercices ainsi que les documents PDF, WORD et EXCEL fournis pour comprendre et suivre facilement ce cours.

by Meet M L

Sep 05, 2019

Excellent detailing

by AshQiu

Nov 28, 2019



Oct 30, 2019


by Svetlana R

Nov 10, 2019

It's a good course, lots of information. But you need to have previous knowledges in maths and excel.

by Saman S

Nov 10, 2019



Oct 29, 2019

Excellent course

by Tan Y Y

Feb 03, 2019

Very useful

by Vardges Z

Dec 15, 2018

A lot of useful theory

by Tam N

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 Elvis A

Feb 06, 2019

Improvement on my Excel skills to analyse data better. I wish the organisation will be much better. Thank you!

by Alfredo Z

Feb 20, 2016

towards end of the course, specifically linear regression week, a lot of buzzwords are strung together. I wish, the instructor would be a little bit more sparing in their usage together (together is the keyword). Eg "This is the connection between linear regression and mutual information in a parametric model where we have gaussian distributions" I feel that each term in isolation I know what they mean, but when strung together, I am unclear how to process the meaning.