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返回到 使用 Excel 分析数据

學生對 杜克大学 提供的 使用 Excel 分析数据 的評價和反饋

4.2
3,681 個評分
881 條評論

課程概述

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....

熱門審閱

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.

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101 - 使用 Excel 分析数据 的 125 個評論(共 862 個)

創建者 Tolulope A

2019年8月25日

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.

創建者 Maxim C

2018年8月22日

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.

創建者 Javier G

2017年8月8日

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.

創建者 Reginald N C

2017年1月15日

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.

創建者 Tripper R

2017年11月27日

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.

創建者 Kevin M M

2019年9月28日

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.

創建者 Aditya S

2019年2月15日

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 !

創建者 Paul D

2016年3月16日

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.

創建者 anny r

2015年12月13日

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.

創建者 Brett R

2017年1月17日

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.

創建者 Ross C

2018年10月15日

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.

創建者 Zhao M

2018年11月19日

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.

創建者 Prerna B

2020年8月1日

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

創建者 Kayla H

2018年1月20日

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.

創建者 Evandro M S R

2015年12月15日

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.

創建者 Nicholas K

2020年9月14日

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

創建者 Alison T

2015年12月21日

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

創建者 Vivek S

2016年9月26日

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

創建者 Jennifer L

2019年1月24日

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.

創建者 王玮

2019年12月30日

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.

創建者 khalid m

2016年8月18日

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.

創建者 Mike S

2015年11月6日

GREAT ClASS!!!....The instructor is very good at explaining difficult topics the spreadsheets are very clear and comprehensive really enjoying this class

創建者 Atish S

2017年8月30日

Statistics knowledge can be extremely helpful. Conceptually and course design is sufficient to explain what all is required to make a predictive model.

創建者 Niklank J

2020年4月18日

Precise, informative and challenging for a beginner. Hopefully, others take this course if they wish to understand the regression models from scratch.

創建者 Saurabh K S

2020年6月8日

A good course to start building primitive analysis models. Teaching and assignments are to the mark and assist in understanding the concepts better.