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学生对 杜克大学 提供的 使用 Excel 分析数据 的评价和反馈

3,805 个评分
920 条评论


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....


Nov 16, 2021

I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University

Oct 30, 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.


226 - 使用 Excel 分析数据 的 250 个评论(共 902 个)

创建者 Li T

Jan 1, 2016

very useful, but hopefully, there will be some slides for learning.

创建者 Jeyhun N

Jun 24, 2020

well organized, only was missing more details of specific problems

创建者 Pedro A L M

Mar 8, 2016

I really recommend this course. Very useful!!

Perfectly explained.

创建者 Adelodun A

Dec 24, 2020

excellent course. Learning new concept. The facilitator is superb

创建者 Deleted A

Oct 16, 2017

I like the supplemental materials, which are all very helpful!

创建者 Jean-Christian M O

Feb 22, 2016

Great course. Relevant ad practical examples and case studies.

创建者 Bhavya D

Mar 5, 2021

This course is really good and intresting..Thank you so much.

创建者 Sanni f O

Jul 28, 2017

Great course. Can't wait to complete the whole specialization

创建者 JOSE M A A

Feb 3, 2016

I thank Prof. Daniel for the clear exposition of the course.

创建者 Erin C

Jan 24, 2016

very practical course with understanding of business context

创建者 Daniel M

Jan 22, 2016

great statistic refresher and hands-on experience with excel

创建者 Partha G

Dec 3, 2015

Great knowledge to build your own equity in decision making.

创建者 Ming J

Nov 9, 2016

Really great! Things taught in this course are useful.

创建者 Shuang G

Dec 22, 2015

Very good! Useful for both new learners and expertise.

创建者 Sebastián O

Dec 17, 2016

Muy buen curso para iniciarse en modelado estadístico

创建者 Ian J

Feb 2, 2016

Excellent instruction/instructor and great templates.

创建者 TrinaA

Apr 16, 2020

Very challenging class - I learned a lot! Thank you!

创建者 Kubra K S

Sep 21, 2016

Egger is very well instructor. The course is useful.

创建者 Aysharjo H

Mar 28, 2019

really helped me understand the material for my job

创建者 Rezaan H

Sep 29, 2018

Good content, broad and well tested but definitely

创建者 María I B

Dec 5, 2016

Excelentes tutoriales y muy interesante el temario

创建者 matthewcs

Jun 17, 2016

Great - the maths section was actually educational

创建者 Alfred H

Feb 11, 2016

Clear, concise and clean communication! Thank you!

创建者 Hang S

Feb 7, 2016

Awesome!However, you need knowledge of statistics.

创建者 Luciano d A P

Nov 15, 2015

Great course! Excellent videos and good exercises.