Chevron Left
Mastering Data Analysis in Excel(으)로 돌아가기

듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,557개의 평가
841개의 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 821개 리뷰 중 176~200

교육 기관: Anthony J

2016년 10월 6일

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

교육 기관: Olga A

2018년 12월 8일

Difficult, but i'm glad to tried and completed. Thanks to all, who created this course.

교육 기관: Theo

2017년 8월 7일

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

교육 기관: Juan P B

2017년 4월 30일

Fun to watch, great exercises and examples, interesting subjects made simple. Congrats!

교육 기관: LE Z

2016년 4월 17일

I hope the video could show me more about how to do these entropy calculations in Excel

교육 기관: Pankaj R

2020년 1월 24일

It's very nice with unique content. But some of things needs to explain more.

Thank you

교육 기관: Chengyu H

2017년 10월 3일

I'm happy to learn some concepts of handling data in excel, though it's a bit roughly.

교육 기관: Francisco D

2016년 3월 26일

Excellent content, learned many new things. Mainly new tools in Excel with the Solver.

교육 기관: Reinis S

2015년 12월 13일

Turning what I learned in university about data analysis to a more practical approach.

교육 기관: Eugene T

2015년 12월 19일

Very challenging course that is very insightful in the use of Excel for Data Analysis

교육 기관: Prem S S

2015년 10월 21일

please give some mechanism to refer my friends to this course from the website itself

교육 기관: Hari T

2015년 10월 23일

great experience with great faculties and learning basics with smart ways thank you

교육 기관: NICOLAS C H

2020년 9월 20일

IS A GREAT COURSE FOR MBA STUDENTS TO ACQUIRE, CONFIRM & PRACTICE THEIR KNOWLEDGE.

교육 기관: Isaiah K A

2016년 11월 24일

Great course for applying real word scenarios with analytical tools such as Excel.

교육 기관: Deleted A

2016년 6월 3일

Easily and fun learning for novice learners as well as non-mathematics background.

교육 기관: Gaurav s

2018년 9월 27일

Excellent course. Learnt the basics of model building in a very practical manner

교육 기관: Chang L

2017년 11월 6일

great course, the final project is really hard but I can really learn something.

교육 기관: Kristoper J A

2020년 8월 25일

Nice Course, really give us the idea of Binary and Regression Model in Business

교육 기관: Nikhil S

2016년 8월 9일

I would like to recommend for every beginner who wants to learn data analytics!

교육 기관: Maycon O F

2016년 12월 12일

Such a good course to learn about data analysis and statistics by using Excel!

교육 기관: Zihui W

2016년 8월 9일

Awesome course to take if you want to be proficient with basic usage of Excel

교육 기관: Alexander K K Y

2020년 9월 27일

This course is really good for Data Analysis workers to refresh their skills

교육 기관: Gustavo H M

2018년 5월 21일

Maybe the name could be another, but except for that it's a great course!

교육 기관: Rajat K

2019년 4월 6일

great course got great knowledge about the models used for data analysis

교육 기관: igor s

2018년 3월 23일

Thank you very much for this course, although it is may too difficult.