Mastering Data Analysis in Excel(으)로 돌아가기

# 듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,705개의 평가
893개의 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 872개 리뷰 중 101~125

교육 기관: Madelyn H

2020년 6월 6일

This is really an excellent course and you will learn more about excel functionality that I never thought exist. I've been using excel for 30 years. I'm so glad that I took this class. Thank you Prof. Daniel !!!

교육 기관: Nataliya

2020년 6월 4일

It is not about Excel but about Mastering Data. It definitely worth its time! I was captured by the course and very useful material. Also, it is a complicated course about data analyses neither working in excel.

교육 기관: Tolulope A

2019년 8월 25일

This course is superb! although the contents are tough but they are essential skills that vital to survive real world data analysis. Also, it gives me more confidence that I will hit my dream job very soon.

교육 기관: Maxim C

2018년 8월 22일

Excellent course! The most valueable lessons for are those which explain financial models, because I'm going to build my own investing portfolio. Moreover, I remembered many concepts which I've forgotten.

교육 기관: Javier G

2017년 8월 8일

Great Class but it could use some more detail and info for all the concepts and terminology. For example, entropy would be better understood with more detailed information about entropy and its concept.

교육 기관: Reginald N C

2017년 1월 15일

I love this course and the way the material is explained. I plan on taking this course again to improve my understanding of the information because I think it relays very important ideas.

교육 기관: Tripper R

2017년 11월 27일

A challenging course that rewards conscientious effort. Heavy on math, both practical and theoretical. Highly recommend comfort with college level statistics before taking this course.

교육 기관: Kevin M M

2019년 9월 28일

J'ai énormément apprécié la qualité des vidéos, des exemples pratiques, des exercices ainsi que les documents PDF, WORD et EXCEL fournis pour comprendre et suivre facilement ce cours.

교육 기관: Aditya S

2019년 2월 15일

This course has enabled me to think the way a data analyst need to think. This course helps in independent growth and getting know the topics by own research. Loved it ! Thank you !

교육 기관: Mainak M

2021년 6월 18일

I​ am very happy to learn this course and very thankful to coursera and Duke University for giving me certificate in such a course like Excel and teach me clearly in every section.

교육 기관: Paul D

2016년 3월 16일

Dr Eggers is a tremendous professor. The course has wit and application along with assignments that are well scaffolded to the learning content. Highly recommend this class.

교육 기관: anny r

2015년 12월 13일

Thank you very much, the lesson is very useful to me. in order to understand what the necessity of a function. and the professor clearly explains everything in the right pace.

교육 기관: Brett R

2017년 1월 17일

I very much enjoyed this course. I've been able to apply some of the strategies I learned in the specialization and I look forward to using it as a resource moving forward.

교육 기관: Ross C

2018년 10월 15일

Challenging course, however very useful skills on leveraging Excel for data analysis. I enjoyed the examples as well as the class projects. Good mix of hands on an theory.

교육 기관: Zhao M

2018년 11월 19일

The course is designed very well and digs deeply into the usage of binary models. It will be great if more contents are offered about the multi-factor regression model.

교육 기관: Prerna B

2020년 8월 1일

great course to start data analytics with. The instructors have been very helpful and the content is great for anyone from intermediate to beginner level knowledge

교육 기관: Kayla H

2018년 1월 20일

This course was very helpful in refreshing my knowledge of Excel I had previously and including new tips and tricks for working in Excel that I didn't have before.

교육 기관: Evandro M S R

2015년 12월 15일

I teach quantitative methods in a Business course at University of São Paulo (Brazil). This is an excelent course with fundamentals and very usefull applications.

교육 기관: Mike T

2021년 6월 12일

This course is really great and requires mathematical skills to complete. The skill you can learn via this course is really practical and useful in really world.

교육 기관: Nicholas K

2020년 9월 14일

Ever since I enrolled for this course, i have learnt a lot in excel and got a lot of challenges(quizzes) that helped master what i had learnt. Thank you Coursera

교육 기관: Alison T

2015년 12월 21일

This course was a great recap in math/statistics that I had totally forgotten about. Things were explained clearly, and the application of concepts was practical

교육 기관: Vivek S

2016년 9월 26일

Excellent Course!! Great insight on binary classification model !! I recommend this course to anyone who is looking to master data analysis skills using Excel.

교육 기관: Jennifer L

2019년 1월 24일

Lots of information in a short period of time. Last Final was challenging to say the least, but by reading the Discussion Form you are able to get through it.

교육 기관: 王玮

2019년 12월 30일

very useful and straight forward course. excel is a handy and useful tool for everyday work and study, learning excel VBA and solver plug-in helps me a lot.

교육 기관: Khalid Q

2016년 8월 18일

The course is built around people doing/studying business and economics. I am a scientist but I still learned a lot from it. The course is very practical.