Analyze Survey Data using Principal Component Analysis

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In this Free Guided Project, you will:

Understand the fundamentals of Principal Component Analysis (PCA) and identify opportunities to combine variables.

Conduct correlation testing with various sets of variables in Google Sheets.

Combine highly correlated variables, visualize the data, and consider next steps in Google Sheets.

Showcase this hands-on experience in an interview

2 hours
Advanced
No download needed
Split-screen video
English
Desktop only

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.

Requirements

Familiarity with spreadsheet software, factor analysis, and correlation testing. "Design a Factor Analysis Using Survey Data" is recommended.

Skills you will develop

  • Survey Methodology

  • Mining Insights

  • Business Insights

  • Data Analysis

  • Principal Component Analysis (PCA)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Review the fundamentals of Principal Component Analysis (PCA) and combining variables.

  2. Identify use cases for PCA and refine variable selection for the project.

  3. Access Google Sheets, import survey data, and examine variables that are likely correlated.

  4. Identify variables of interest and conduct a correlation test.

  5. Compare results and review the process of correlation testing.

  6. Combine highly correlated variables, create a visualization, and consider next steps.

  7. Access the ClustVis webtool for visualizing clustering and multivariate data.

  8. Build a PCA model with Heart data and run a Principal Component Analysis

  9. Compare results and review PCA with multivariate data from multiple sources and interpret the findings in ClustVis.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

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Frequently asked questions

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.

At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.

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