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Avis et commentaires pour d'étudiants pour Analyze Survey Data using Principal Component Analysis par Coursera Project Network

4.2
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23 évaluations
4 avis

À propos du cours

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 sur 4 Avis pour Analyze Survey Data using Principal Component Analysis

par Ingrid R

21 févr. 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.

par ANKITA C

16 févr. 2021

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

par Victoria A E D

21 févr. 2021

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

par SYED H

21 janv. 2021

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