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듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

2,984개의 평가
661개의 리뷰

강좌 소개

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....

최상위 리뷰


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.

필터링 기준:

Mastering Data Analysis in Excel의 642개 리뷰 중 101~125

교육 기관: Armaghan

Dec 15, 2015

very good training.

교육 기관: Yingyu G

Mar 25, 2016

This course really tortured me , but really worth the time and effort, I did learn something by heart :)

교육 기관: Tianju C

Nov 12, 2015

Perfect course!

교육 기관: Hang S

Feb 07, 2016

Awesome!However, you need knowledge of statistics.

교육 기관: Samir C

Oct 22, 2015

This is just awesome.

교육 기관: Martin S

Sep 30, 2016

I read some of the other reviews and feel I should comment on some of their criticisms.

The material, objectives and tuition are top-notch. Yes there are things that are unclear and difficult and I you will need to read around the subjects introduced from other sources and persevere.

But that is how you will learn and remember.

So far I have yet to complete the course, I am about to start my 4th attempt, but I get a little further each time and the next presentation acts as revision initially. Daniel Eggar introduces key concepts that you need to master, this course is not spoon fed, but is better for it.

If I have a criticism, perhaps the course is badly named, maybe it should be called "Core statistical concepts for data science using Excel"

교육 기관: Theo

Aug 07, 2017

I really enjoyed this course and I hope I could go for the next course of data analysis

교육 기관: suneet b

Jan 10, 2016

Brilliant course

교육 기관: Alfred H

Feb 11, 2016

Clear, concise and clean communication! Thank you!

교육 기관: Manoj L

Dec 11, 2015

Very Useful, Eye-opener

교육 기관: 何欣

Jan 15, 2016

Very useful!!!

교육 기관: Sirsendu S

Jul 30, 2017

loved it

교육 기관: Alok S

Aug 18, 2016

Good Presentation

교육 기관: Al S

Dec 17, 2015


교육 기관: Joe L

Feb 22, 2016

I find it very practical. Not only do the lectures give you general overview of the concepts with examples, but also they teach you how to do the maths which is very important in my opinions. Thank you very much Prof. Egger and the team.

교육 기관: Serdar Y

Oct 10, 2017

It was a great experience for me. I learned a lot on analyzing data in business area.

Excited to learn more.!

교육 기관: Daniel M

Jan 23, 2016

great statistic refresher and hands-on experience with excel

교육 기관: Christian M

Oct 31, 2017


교육 기관: Harsimran K

Nov 25, 2016

I being a beginner found this course to be very helpful.It gave me a good start in data analysis.

교육 기관: Jean-Christian M O

Feb 22, 2016

Great course. Relevant ad practical examples and case studies.

교육 기관: Anthony J

Oct 06, 2016

The course was very clear and they included topics on information theory and statistics.

교육 기관: matthewcs

Jun 18, 2016

Great - the maths section was actually educational

교육 기관: Abdullah M

Mar 24, 2016

Really helpful


Mar 30, 2016

very nice course,discussions are very helpful.

교육 기관: Isaiah T C

Jan 22, 2016

I never knew excel had so much possibilities