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

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.


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