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Learner Reviews & Feedback for Analyze Survey Data using Principal Component Analysis by Coursera Project Network

4.1
stars
21 ratings
4 reviews

About the Course

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....
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1 - 4 of 4 Reviews for Analyze Survey Data using Principal Component Analysis

By 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.

By ANKITA C

Feb 16, 2021

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

By 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.

By SYED H

Jan 21, 2021

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