Boost Accuracy by Weighting Variables in Google Sheets

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand the fundamentals of statistically weighting variables.

Conduct a factor analysis and build the framework for weighting the variables in Google Sheets.

Weight variables, visualize them, and report findings in Google Sheets.

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project, you will be able to confidently identify when weighting of variables is warranted. You will also be able to apply statistical weighting to variables to produce a valid representation of the data so that it can be mined for insights using any spreadsheet software. To do this, you will work in the free-to-use spreadsheet software Google Sheets. The terms “weighting” and “weighted” are most-commonly used in reference to grading. You have probably heard them used in the context of a course you may have taken. When we hear that something like a grade will be weighted, we often feel a wave of relief because it implies that there will be a balancing of the scores within the class and the hope rises within us that the weighting might boost our personal letter grade. Statistical weighting in data sets—especially survey data sets—works in much the same way. It seeks to balance data variables or factors so that the values in the data set accurately represent the population. When data is weighted appropriately it enhances our confidence that the insights we pull from a data set are actionable. 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.

Skills you will develop

Survey MethodologyStatistical AnalysisWeighting VariablesData AnalysisInsight Mining

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. Identify when variables should be weighted and how to apply statistical weighting.

  2. Identify use cases for statistical weighting of variables selected during a factor analysis.

  3. Access Google Sheets, import data, and select factors that will aid in finding insights.

  4. Conduct a factor analysis and create the framework for weighting the variables.

  5. Apply statistical weighting to variables, create a visualization, and report your findings.

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

Frequently asked questions

Frequently Asked Questions

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