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学生对 Coursera Project Network 提供的 Analyze Survey Data using Principal Component Analysis 的评价和反馈

41 个评分
9 条评论


Survey data sets are often deceptively complex because surveys collect a wide variety of data covering a wide variety of topics and experiences. To further the complexity of survey data, the respondents answering the questions come from a wide variety of backgrounds and stages in their customer journey. It is reasonable that it would be a challenge to boil down survey data into actionable insights because it can be deceptively complex. With large sets of data, Principal Component Analysis or PCA is a useful tool that reduces and transforms variables to a leaner form that allows for a speedier analysis. In this project you will gain hands-on experience with the principles of Principal Component Analysis using survey data. To do this you will work in the free-to-use spreadsheet software Google Sheets. By the end of this project, you will be able to confidently apply Principal Component Analysis concepts to transform large sets of variables into a leaner set of data that still contains the most relevant information. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

1 - Analyze Survey Data using Principal Component Analysis 的 9 个评论(共 9 个)

创建者 Ingrid R

Feb 21, 2021

I feel that this project was a little slow, it took I think 10 minutes to actually begin working. This is best suited for beginners, as it covers very basic materials.

创建者 Justas M

Jun 3, 2021

D​on't waste your time on this course. No theory of PCA, no real practise! Just functions "correl" and "average" in google sheets used. And have a look at PCA in without any explanation why, what, how... explore yourself. LOL... Epic....

创建者 jesús p

Nov 19, 2021


创建者 Panduranga V T

Jan 13, 2022


创建者 Jingqiu W

Jun 2, 2021

Deeper knowledge on PCA should be introduced, more complex project or case should be given. Learning PCA through Excel is never enough.


Feb 16, 2021

Course was very helpful. However it would be better if analysis on more number of variables could be conducted

创建者 Victoria A E D

Feb 21, 2021

The course was simpler than I imagined. However, it was interesting to learn about the tool and its possible uses.

创建者 Yuzuru

Jan 7, 2022

First of All this is NOT a PCA course, it doesn´t use PCA at all - it uses just an average! Very very beginning material. There are obvious mistakes in the final quizz, I believe the project was created in a few hours. I am baffled.

创建者 SYED H

Jan 21, 2021

This is a pure waste of time and money Why are such course on this webpage