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듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,530개의 평가
832개의 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

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.

PW

Oct 14, 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.

필터링 기준:

Mastering Data Analysis in Excel의 812개 리뷰 중 626~650

교육 기관: Jongah K

Nov 02, 2019

not recommend if you want to learn about Excel. More fore stat/analytics in general

교육 기관: Qian W

May 12, 2016

could have lecture more.... the videos talks little about the spreadsheet provided

교육 기관: Eunice H

Jul 12, 2020

it seems like there need to be some prerequisities to this class, like finance.

교육 기관: Samhita A

Jul 02, 2020

It was a bit too fast and there is a lot of math formulas than I expected

교육 기관: César R

Jul 05, 2016

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

교육 기관: Sebastiaan B

Aug 17, 2016

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

교육 기관: Steven T

May 16, 2018

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

교육 기관: demehin I

Jan 31, 2016

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

교육 기관: Luke R

Apr 06, 2017

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

교육 기관: steven u

Nov 23, 2015

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

교육 기관: Diogo H M d F T

Jul 07, 2016

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

교육 기관: 张之晗(ZhiHan Z

Sep 09, 2017

So many terminologies, can you talk those principles concisely?

교육 기관: cherie

Sep 20, 2016

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

교육 기관: Bernhard K

Feb 28, 2016

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

교육 기관: Ernesto R

Mar 11, 2016

Not enough practices for the unexperienced students.

교육 기관: Scott R

Oct 21, 2020

Definitely way more statistics than I expected.

교육 기관: Neelam M

Jul 27, 2016

inclination was more towards concept than excel

교육 기관: SARAH S A

Jul 18, 2017

Tough Course.. Need Mathematical Background

교육 기관: Y. B

Feb 06, 2016

good, but no material and lack of structure

교육 기관: Ricardo C

Dec 08, 2018

Too much theory and no excel learings.

교육 기관: Reiko M

May 04, 2016

Not so comfortable with using Excel.

교육 기관: Sundeep g

Feb 25, 2019

It was great to have this course.

교육 기관: Hao C

Feb 09, 2016

Not so relevant with real work.

교육 기관: Joseph M

May 02, 2016

It was an interesting course.

교육 기관: Carlos S C

Feb 14, 2016

Final project really hard