Human Resources Analytics

UC Irvine treats HR analytics as a decision process rather than a dashboard alone. Data sources and metrics connect with staffing, development, compensation and employee relations. It suits learners who want to choose measures that address an organizational question and explain the action those measures could support.

What you will learn

• Select suitable data sources for HR analysis.
• Develop and interpret workforce metrics.
• Connect analytical findings with an organizational case.

Who this suits

Learners exploring data-driven HR decisions and workforce measurement; preview the examples to assess spreadsheet or analysis preparation.

Before you enroll

Course examples need to be adapted to the organization, location and current employment rules. Use fictional or anonymized employee data for practice, and review the suitability of any AI tool before sharing workplace information or using its output in a people-related decision.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Define a fictional retention question and select a small set of metrics, documenting what each measure can and cannot establish.

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.

View the curriculum and current access options at Coursera.

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