Fundamentals of Data Analytics in the Public Sector with R

Michigan places R analysis inside public administration. Survey data, population records and custom functions give the programming work a policy setting. The roughly fifteen-hour outline also introduces the professional context in which public-sector analysts interpret and communicate results.

What you will learn

• Connect public-administration questions with suitable data.
• Analyze survey records using R and tidyverse tools.
• Write functions to summarize population datasets.

Who this suits

Learners interested in applying R to public policy or administration. The provider marks this intermediate.

Before you enroll

The prerequisite field is unspecified. Review the opening RStudio material and consider how sampling, definitions and missing records limit an interpretation.

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Put it into practice

Use an open population dataset to answer one descriptive question. State the unit of analysis and explain why its result cannot establish a causal policy effect.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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