People Data Foundations: Metrics & Visualization

Coursera via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours/week
Level

Beginner

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Transform from HR professional to data-driven people strategist with this 11-course program designed for the modern workplace. Starting with no analytics experience, you will build the skills to turn workforce data into insights executives act on. You will master HRIS fundamentals from data entry to report generation, create visualizations that reveal turnover trends and engagement patterns, and apply basic statistics to move beyond gut feelings to evidence-based decisions. Throughout the program, you will leverage AI tools including ChatGPT to translate technical findings into stakeholder-ready language while verifying outputs for accuracy. You will practice with real scenarios — calculating turnover rates, building decision matrices for promotions, diagnosing absenteeism spikes with fishbone diagrams, and creating engagement dashboards. Each course emphasizes practical application through role plays where you defend findings to skeptical VPs and explain complex metrics to non-technical audiences. Whether reporting survey results, predicting flight risk, or troubleshooting data quality issues, you will develop a complete people analytics toolkit. By the end, you will confidently extract HRIS insights, visualize workforce trends, apply statistical thinking, and communicate findings that drive strategic workforce decisions.

Syllabus

Course 1: Decode HR Metrics
Course 2: Leverage HRIS Data
Course 3: Retrieve & Prep Data
Course 4: Visualize Workforce Metrics
Course 5: Chart HR Trends
Course 6: Apply Basic HR Stats
Course 7: Make Data Decisions
Course 8: Measure Engagement Drivers
Course 9: Identify Talent Risks
Course 10: Solve HR Problems with Root-Cause Analysis
Course 11: Report Findings Effectively

Courses

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Your dashboard shows time-to-hire is down—but is that good or bad? This course teaches you to explain what three core workforce metrics actually measure—time-to-hire, absenteeism rate, and internal mobility rate—and why reading them together matters more than any single number. You'll populate a real dashboard template from HRIS data and learn how to spot when a green indicator hides a serious problem. You'll also use AI tools like ChatGPT to draft stakeholder summaries of your findings—then verify the AI's output against your actual data. Through realistic role plays where you walk a CEO through live dashboard results and coach dialogues where you handle skeptical managers, you'll build the visual literacy every HR professional needs. Designed for HR professionals new to people analytics. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.
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Can you explain what 'turnover rate' actually means—and calculate it correctly? This course teaches you to use fundamental HR metrics like headcount, turnover rate, and average tenure, then calculate them using Excel formulas. You'll learn why metric definitions matter—the same number can mean different things to HR, Finance, and Operations—and how small definition choices change everything. You'll practice calculating turnover rate and average tenure from a realistic 50-row employee dataset using COUNTIFS and AVERAGE. Using AI tools like ChatGPT, you'll draft plain-language summaries for stakeholders and learn to verify that AI outputs match your actual numbers. Through realistic role plays where you defend your metrics to a skeptical board member and coach dialogues where you navigate competing definition demands, you'll build the foundational analytics skills every HR professional needs. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.
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Is your HRIS a source of truth or a source of confusion? You'll apply how an HRIS captures, stores, and updates employee data across the hire-to-exit lifecycle. You'll enter mock employee records into a simulation template, generate headcount-by-department reports, and export results to CSV. Using AI tools like ChatGPT, you'll document technical HRIS outputs into plain-language summaries for stakeholders—and learn to verify AI accuracy against your actual data. Through realistic role plays where you explain HRIS concepts to frustrated managers and coach dialogues where you troubleshoot data discrepancies, you'll develop the foundational skills needed for any HR technology role. This course is designed for HR professionals, coordinators, and anyone who touches workforce data. Basic spreadsheet familiarity is helpful, but no HRIS experience is required. Access to the free version of ChatGPT or Claude is recommended.
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Two candidates. One promotion. How do you decide—and defend your choice? This course teaches you to explain why performance score, tenure, and potential rating each matter for promotion decisions—and why relying on any single input leads to costly mistakes. You'll build a weighted decision matrix that makes trade-offs explicit and defensible. You'll also learn to use AI tools like ChatGPT to draft plain-language recommendations, then verify the AI's output matches your actual data. Through realistic role plays where you present to a promotion committee and coach dialogues where you navigate political pressure, you'll practice making evidence-based decisions that hold up to scrutiny. Designed for HR professionals and team leads. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.
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When your CEO asks "Is our engagement score good or bad?"—can you answer with confidence? This course teaches you to build a trustworthy engagement index that combines favorability, participation rate, and eNPS into a single picture executives can act on. You'll learn why participation rate determines whether your data is reliable, how to identify the two drivers that need the most attention, and how to document findings in stakeholder-ready language using AI assistance. Through realistic role plays where you defend your methodology to skeptical VPs and coach dialogues where you navigate competing priorities, you'll develop the evidence-based communication skills that distinguish analysts who influence decisions from those who just report numbers. Designed for HR professionals who want to move beyond survey administration to strategic workforce insight. Basic spreadsheet familiarity helpful; access to free ChatGPT or Claude recommended.
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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.
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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 familiarity with Excel is helpful; no data visualization background is required.
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Stop reacting to resignations—start predicting them. You'll learn how the talent-management cycle (attraction, development, retention) reveals where flight risk hides, and you'll practice flagging high-potential employees at risk of leaving using real workforce data in Excel. Using AI tools like ChatGPT, you'll draft defensible risk explanations that give stakeholders what they need to act. Through realistic role plays where you diagnose a colleague's missed risk signals and defend your own assessment to a skeptical VP, you'll develop the analytical skills that turn HR data into retention decisions. Designed for HR professionals, analysts, and anyone responsible for keeping top talent from walking out the door. Basic spreadsheet familiarity helpful; no HR analytics background required.
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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. This course is designed for HR professionals, analysts, and others who need to communicate workforce insights to leadership. Basic familiarity with engagement surveys is helpful, but no prior report-writing experience is required.
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Your CSV import failed. The columns are wrong. Dates look like numbers. Sound familiar? You'll use your knowledge of the two data formats that power people analytics—CSV files and SQL tables—and apply that understanding to prevent downstream disasters. You'll practice importing CSV files into Excel with the right delimiter, encoding, and type-detection settings, so your data loads correctly the first time. You'll then analyze your imported data using a systematic cleaning checklist to identify hidden columns, verify row counts against the source, and save validated files. Using AI tools like ChatGPT, you'll document your cleaning steps and practice verifying that AI-generated summaries match your actual data. Through realistic role plays where you troubleshoot messy HRIS exports and explain your process to an auditor, and coach dialogues where you navigate sensitive data decisions, you'll build the data preparation habits that separate reliable analysis from guesswork. Designed for HR professionals and aspiring people analysts. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.
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When sick-leave days spike 62% in one department, your leadership wants answers—not guesses. You'll learn why absenteeism spikes are symptoms that require systematic diagnosis, not single-cause explanations. Using fishbone diagrams in Miro, you'll classify potential causes into categories (People, Process, Policy, Environment, Tools, Management) that prevent tunnel vision and reveal hidden drivers. You'll use ChatGPT to help draft a 150-word reflection explaining why this methodology works—then verify the AI's output matches your actual analysis before sharing with stakeholders. Through realistic role plays where you diagnose a colleague's absenteeism mystery and present your findings to leadership, you'll practice the systematic problem-solving that turns HR data into actionable insights. Designed for HR professionals, people analytics practitioners, and anyone who needs to explain workforce problems without guessing. No analytics background required; access to free Miro and ChatGPT recommended.