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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

4.2
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3,643件の評価
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869件のレビュー

コースについて

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....

人気のレビュー

JE
2015年10月30日

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.

PW
2020年10月13日

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.

フィルター：

Mastering Data Analysis in Excel： 651 - 675 / 849 レビュー

by César R

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2016年7月5日

The order and content of the lessons wasn't planned with sufficient care.

by Sebastiaan B

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2016年8月17日

The second test should be compulsory for also the non-paying students!

by Steven T

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2018年5月15日

The content was very useful but I felt that instruction was lacking

by demehin I

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2016年1月31日

still needs a better way of explaining the diversity of the course

by Luke R

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2017年4月6日

Good Course, but final project asks a lot for what this course is

by steven u

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2015年11月22日

Good intro and fundamentals, but focuses far too much on finance.

by Diogo H M d F T

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2016年7月7日

Superficial, esboça assuntos de estatística e mal fala do excel.

by 张之晗(ZhiHan Z

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2017年9月9日

So many terminologies, can you talk those principles concisely?

by cherie

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2016年9月19日

Very hard to comprehend for 6 weeks. But could have been great.

by Bernhard K

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2016年2月28日

Way too theoretical. This is Excel, not Information Theory....

by Ernesto R

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2016年3月11日

Not enough practices for the unexperienced students.

by Scott R

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2020年10月21日

Definitely way more statistics than I expected.

by Neelam M

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2016年7月27日

inclination was more towards concept than excel

by SARAH S A

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2017年7月18日

Tough Course.. Need Mathematical Background

by Y. B

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2016年2月6日

good, but no material and lack of structure

by Ricardo C

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2018年12月8日

Too much theory and no excel learings.

by Reiko M

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2016年5月3日

Not so comfortable with using Excel.

by Sundeep g

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2019年2月25日

It was great to have this course.

by Hao C

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2016年2月9日

Not so relevant with real work.

by Joseph M

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2016年5月2日

It was an interesting course.

by Carlos S C

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2016年2月14日

Final project really hard

by Vishal R

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2015年12月18日

Not much explanatory

by Santiago B

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2020年5月27日

Very theoretical.

by Syed A M K

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2015年12月12日

good course

by Jorge D

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2015年10月17日

great!

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