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듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,772개의 평가
911개의 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
2015년 10월 30일

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
2020년 10월 13일

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 892개 리뷰 중 551~575

교육 기관: Alia E

2017년 1월 20일

It's not Excel... it's applied probability theory using Excel workbooks.

교육 기관: Jose A L M

2015년 12월 28일

If we would have use a real example to explain the concepts prof Eagger

교육 기관: Muhammad A

2015년 11월 18일

Thanks to Duke university for offering these professional courses free

교육 기관: Jakub K

2016년 6월 9일

Be prepared to study a lot as the material is comprehensive and vast.

교육 기관: Lola G

2019년 7월 1일

Very good course! It's not easy, practical and really interesting.

교육 기관: Mohtashim k

2015년 11월 23일

This course really helps in doing Analytics with the help of EXCEL

교육 기관: Cheng D

2018년 3월 23일

hope there can be clear answers for each assignment in the future

교육 기관: Yunxi C

2017년 7월 10일

Extremely hard! However I learned a lot! Totally worth the time!

교육 기관: Rafael A

2020년 1월 30일

Great content, but some points could have been better explained

교육 기관: BILAL A H

2020년 7월 7일

lacked proper guidance to complete end of the week assignments

교육 기관: Richa S

2020년 6월 26일

Its a good course to do if you are really interested in excel.

교육 기관: Ravindra K

2021년 8월 22일

Binary classification explanation should be more elaborated.

교육 기관: Dayoung K

2017년 11월 24일

It's a productive course but there are quite tough projects.

교육 기관: Andreas H

2017년 8월 28일

The instructions for some of the exercises could be clearer

교육 기관: Derek

2016년 3월 28일

Good course. Wish it was more hands on working with excel.

교육 기관: Irene A

2016년 1월 16일

Clear and useful. But you need a text book to this course.

교육 기관: Ioannis B

2017년 9월 6일

Good course, I would expect more in terms of modelling

교육 기관: Colin R

2018년 4월 2일

Really enjoyed this course - thank you Mr Egger !!

교육 기관: Oleg L

2017년 5월 28일

Interesting introduction to classification. Thanks!

교육 기관: Eugenio A R G

2016년 5월 31일

It's just not only Excel...is mostly data analysis.

교육 기관: Diana J

2021년 2월 9일

Necesita más explicaciones en algunos ejercicios.

교육 기관: Yuduan L

2015년 11월 5일

A bit very difficult course...full of formula

교육 기관: Aadithya V

2016년 8월 31일

A great course to learn excel for analytics.

교육 기관: JITISHA G

2021년 7월 31일

It is genuinely a very informative course

교육 기관: Kafu A

2016년 3월 3일

Great course, just a little too technical