Overview

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This course builds foundational data literacy skills for people analytics. You'll learn how to define key HR metrics, apply basic statistical techniques, visualize workforce trends, and communicate findings in structured reports. You'll start by understanding common HR metrics such as headcount, turnover rate, and tenure. From there, you'll apply statistical methods to interpret engagement data and compare workforce segments. You'll also create visualizations that highlight trends and support decision-making. The course concludes with reporting techniques that help you present insights clearly and recommend actions. Through hands-on exercises, you'll practice calculating metrics, building charts, and compiling analytics reports. Designed for HR and business professionals entering people analytics, this course prepares you to work with workforce data confidently and communicate findings effectively.

Syllabus

Decode HR Metrics: Applying HR Metric Definitions

In this module, you'll use your understanding of why precise metric definitions matter—and what goes wrong when HR, Finance, and Operations each define 'turnover rate' differently. Through a discovery role play and real-world examples such as the Wells Fargo scandal, you'll experience the confusion that vague definitions create, then learn exactly what headcount, turnover rate, and average tenure mean through practice activities, an Excel demo, and a coach dialogue.

Decode HR Metrics: Calculating and Analyzing Metrics in Excel

In this module, you'll apply calculation techniques and analyze the results. Using a 50-row employee dataset, you'll build formulas with COUNTIFS and AVERAGE to compute turnover rate and average tenure—then learn to document and communicate your findings using AI assistance. Through practice activities, a capstone role play, and a graded assessment, you'll prove you can go from raw data to stakeholder-ready insights.

Apply Basic HR Stats

Stop guessing whether engagement survey differences matter—learn to test them statistically with AI assistance. In this hands-on course, you'll discover why not every score gap deserves a reaction, mastering the concept of statistical significance that separates evidence-based HR decisions from gut reactions. You'll learn to run Excel's T.TEST function to compare department scores, use ChatGPT to interpret your p-value in plain language, and apply the standard 0.05 threshold to classify differences as significant or not significant. Critically, you'll learn to verify AI outputs against your actual data—ensuring accuracy while gaining efficiency. Through realistic role plays and coach dialogues, you'll practice explaining concepts to colleagues and completing AI-assisted analyses. Designed for HR generalists, HR analysts, and people managers who want to combine analytics with modern AI tools. Basic Excel familiarity helpful; no statistics background required.

Chart HR Trends

Stop hiding workforce patterns in charts that mislead—learn to visualize turnover data that stakeholders can actually read, and use AI to articulate your findings clearly. In this hands-on course, you'll discover why chart type selection is not cosmetic, mastering the principle that a 3% difference visible in a bar chart can vanish in a pie chart. You'll learn to build clustered bar charts in Excel comparing quarterly turnover by gender, format them with clear labels and legends, and use ChatGPT or Claude to articulate the patterns in stakeholder-friendly language. Most importantly, you'll develop the ability to critically evaluate AI-generated descriptions and defend your visualization choices, explaining why clustered bars communicate comparison data more effectively than pie charts. Through realistic role plays and coach dialogues, you'll practice advising colleagues on chart selection, prompting AI for pattern articulation, and completing full visualization workflows. Designed for HR generalists, HR analysts, and people managers who present workforce metrics. Basic Excel familiarity helpful; no data visualization background required.

Report Findings Effectively

Turn engagement survey data into reports executives actually read—and act on. You'll learn why the four-section framework (objective, methodology, findings, actions) builds credibility with decision-makers, and you'll practice compiling a two-page executive summary using a professional template. Using AI tools like ChatGPT, you'll translate technical findings into plain language and write action recommendations with clear owners and timelines. Through realistic role plays where you diagnose a colleague's incomplete report and defend your own structure to a skeptical VP, you'll develop documentation skills that transform data into decisions. Designed for HR professionals, analysts, and anyone who needs to communicate workforce insights to leadership. Basic engagement survey familiarity helpful; no report writing background required.