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學生對 杜克大学 提供的 使用 Excel 分析数据 的評價和反饋

3,215 個評分
734 條評論


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....



Oct 31, 2015

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.


Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.


201 - 使用 Excel 分析数据 的 225 個評論(共 716 個)

創建者 Yiran W

Mar 04, 2017

great course if you want to go deeper in business

創建者 Ermiyas M D

Oct 21, 2015

Excellent training in helping me to master excel.

創建者 chehaoming

Mar 20, 2019

please provide chinese for us Thx you very much


Nov 16, 2016

pragmatic enough and a lot of stat to be learned

創建者 Frank-Nelson M

Apr 07, 2020

Valuable insights on data analysis using Excel!

創建者 Sreedharrao V R

Jan 08, 2018

Good starting point exercises are challenging .

創建者 juan a c

Feb 06, 2016

very good is increible this course for practice

創建者 Nhan T N

Jul 11, 2019

Great course for essential knowledge in Excel!


Mar 30, 2016

very nice course,discussions are very helpful.

創建者 Rohan D

Dec 22, 2015

Meticulously designed for crisp understanding!

創建者 Vladimir P

Aug 17, 2016

Indeed a Mastering course for Data Analysis!

創建者 Majid A

Feb 18, 2016

Simply if define it in one word. EXCELLENT!!

創建者 Sylvia S

Jan 27, 2016

Very thorough and useful. Thank you so much.

創建者 Isaiah T C

Jan 22, 2016

I never knew excel had so much possibilities

創建者 赵旭鹏

Jan 27, 2016

very uesful for me ,i'am a student in china

創建者 Munyaradzi M

Sep 10, 2018

very good course for analytics, the maths!

創建者 Mohammad U

Aug 26, 2016

First step toward becoming data scientist.

創建者 Austin K

Jun 01, 2017

pretty clear explanation for new learner

創建者 Danny I

May 14, 2016

Dense! Very Dense. Cool testing methods.

創建者 Anirudh R

Sep 21, 2016

Excellent Faculty and robust coverage!!

創建者 Saurabh S

Mar 05, 2016

Goto course ...... very nice ....... :)

創建者 Rogelio R G

Oct 26, 2015

Excellent Idea and concept, thank you!

創建者 Philip L

Sep 24, 2016

Very practical course! Learned a lot.

創建者 konglingyu

May 27, 2018

1 start for its so hard to find data


Feb 07, 2017

Teaching method of Daniel is awseome