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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
3,677 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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826 - 使用 Excel 分析数据 的 850 個評論(共 860 個)

創建者 Iselie I

2016年8月10日

En mi opinion es un tema muy interesante sin embargo cuesta entender lo que el profesor está diciendo por lo que es muy dificil llevar el ritmo del material...

創建者 Esuene S

2016年4月24日

Poorly coordinated lectures. References to resources that are not provided. No response (at least, for days on end) when questions are posted on the forums

創建者 Roberto K

2016年4月13日

Interesting statistical concepts, and great theory. However, the lectures and the quizzes do not prepare the student well for the final project.

創建者 Siamak R

2020年8月31日

Not a well structured course at all. There is not much clear explanation on the subjects. You pretty much need to figure it out by yourself.

創建者 Josh H

2017年12月15日

Terrible course, almost no focus on Excel and the lectures were incomprehensible. Please redo this class with Dr. Borg teaching it.

創建者 Inna G

2020年11月17日

not about data analysis in excel, but mostly how to create models, not related to real life and very hard to grasp

創建者 Richard C

2015年11月11日

Where is the course study material and are you providing a book on this subject and Excel? You have me lost.

創建者 Rahul K

2020年8月17日

Really bad course, teaches stuff which are very basic and then the tests are really nothing based on that

創建者 Aizaz S

2015年12月6日

absolutely one of the worst courses... I am deleting it from my list.

no slides make it harder to follow.

創建者 Alexey E

2015年12月27日

the course neither explains statistics properly, nor teaches how to use excel effectively, disappointed

創建者 Elias R F

2016年9月15日

This is more of an introduction to statistics lesson than one in excel... not what I had signed up for

創建者 Alex B

2017年2月6日

Not enough detail and information provided in the lectures to undertake the final assessment.

創建者 He Y

2016年4月10日

Really confusing and struggled a lot. The course doesn't prepare you for the final project.

創建者 Rochelle R

2016年1月6日

I would not recommend this course. It was very poorly planned and seemed thrown together.

創建者 Lalitha P

2017年8月5日

completely not relevant to my educational background. Highly very tough to understand.

創建者 Michael K

2016年12月3日

if you do not have a background in statistics do not expect to pass this course

創建者 Nyrola E

2019年11月18日

The second part of week 4 is really confusing . Poor design of the contents.

創建者 Nitin P

2015年12月12日

Very poor material and instruction videos, with no logical flow or process.

創建者 Sankalp D

2020年8月23日

Quizzes were different than the lectures. Quizzes were too difficult.

創建者 Vipul B

2016年1月27日

The course requires good knowledge of statistics as a pre-requisite.

創建者 Carolina a P

2020年6月16日

Way to much mathematics and not enough Analysis infos

創建者 Thomas K

2016年4月2日

The course doesn't prepare you for the final project.

創建者 Doron P

2020年8月29日

the course material is not explained in a good way

創建者 Al M M M H

2015年12月19日

im in week 4 , cant master data analysis in Excel

創建者 Yuriy G

2016年7月13日

Title misleading. Never ever a beginners course.