HUMAN RESOURCES ANALYTICS
24 NOV 2026
MONDAYS & WEDNESDAYS
5 PM PT / 8 PM ET
recertification credit hours toward aPHR®, aPHRi™, PHR®, PHRca®, SPHR®, GPHR®, PHRi™ and SPHRi™ recertification through HR Certification Institute® (HRCI®).
HR ANALYTICS
14 OCT 2026 - 24 NOV 2026
DURATION:
6 WEEKS
MONDAYS & WEDNESDAYS
5 PM PT / 8 PM ET
Stop making HR decisions based on gut feeling. Learn to ask the right question, back it with data, and walk into any room ready to prove it.
Taught by Kelly McFall, HR Data Insights & Innovation Leader at GE Vernova. You'll leave with a portfolio-ready business case and the confidence to use it.
THIS COURSE IS FOR YOU, IF...
-
YOU ARE A HR MANAGER
You're tired of getting questioned in rooms where everyone else shows up with numbers. This HR analytics course teaches you to turn a vague workforce concern into a sharp, testable question, then back your read of the data with confidence instead of caveats. You'll leave able to bring leadership a recommendation that holds up, not a hunch dressed up as analysis.
-
YOU ARE A TALENT ACQUISITION SPECIALIST
Sourcing decisions built on instinct only go so far, and AI hiring tools you can't interrogate go further than you'd like. This HR analytics training shows you how to sharpen recruiting with real metrics and how to audit AI screening tools for bias before they cost you a good candidate. You'll walk away making selection calls you can actually defend.
-
YOU ARE A ORGANIZATIONAL & TALENT DEVELOPMENT PRO
Narrative alone doesn't secure a budget, and you know it. This human resource analytics course gives you the framework to build evidence-based cases for engagement and retention initiatives, paired with dashboards and stories that move leaders to act. You'll stop pitching ideas and start presenting business cases.
-
YOU ARE AN ASPIRING HR ANALYST
You want into people analytics, but there's no clear roadmap and no HR-specific training built for someone starting out. This HR data analytics course walks you through the full analytics lifecycle, from framing a question to presenting a dashboard, using tools you already have access to. You'll leave with a portfolio project built for interviews, not just a certificate.
Our students work in 1600+ companies worldwide
Every lesson feeds a real assignment, and every assignment feeds your final project. You'll test hypotheses on live HR datasets, build dashboards in Tableau or Power BI, and audit AI tools for bias, not in theory, but on the page.
Learn from a case study on bias in automated candidate screening and a demo on using AI to explain statistics to a CHRO with zero patience for jargon. Every session is built around how the field actually works right now, not how a textbook says it should.
You'll finish with one stakeholder-ready HR Analytics Business Case you can present to your own leadership on Monday morning. It's the kind of proof that gets you taken seriously in the room, and considered for the next one.
- Leads HR Data Insights & Innovation at GE Vernova, turning workforce data into decisions executives act on
- Spent over two decades building people analytics capability from the ground up, starting in HR Technology and People Operations before moving into analytics in 2013
- Stood up GE's people-analytics platform across two newly independent companies during one of the most complex corporate restructurings in recent American business history
- Built the platform at GE Aerospace, then rebuilt it again at GE Vernova, under deadline and high scrutiny, twice
- Completed Harvard's Data Science Initiative program in applied agentic AI
- Now leads GE Vernova's push to bring AI into HR, building the data foundation and fluency the function needs to use it well
- Mentors practitioners daily, with a career-long focus on helping people read, trust, and act on data with confidence
WEEK 1
Business Questions, Hypotheses & AI Prompts
Meet your instructor, explore the course roadmap, and define your learning goals. You'll also assess your current data literacy to measure your progress throughout the course.
- Instructor intro
- Course structure & final project
- Data literacy assessment
Build the mindset behind great analytics. Learn how to think critically about data, recognize cognitive bias, and understand why neither data nor AI is ever truly objective.
- Data literacy
- 3Cs & four levels of analytics
- How cognitive bias shapes data & AI
- Data & AI: Objectivity
- Workshop: Bias-recognition exercise & data literacy self-assessment
Discover why the right question matters more than the right dataset. Learn to turn business challenges into testable hypotheses and AI prompts that lead to meaningful insights.
- Costliest mistake: Starting with data
- IMPACT framework
- A prompt is the hypothesis
- Writing structured prompts
- Workshop: Translating vague HR concerns into specific hypotheses
Assignment #1: Problem Statement & Hypothesis
WEEK 2
HR Context & Ethical Foundations
Learn to connect HR metrics to real business outcomes. Identify the measures that answer your questions and avoid the ones that only create noise.
- Connecting HR metrics to the goals
- Picking the right metrics
- Separating metrics
- Ideating & sorting a metric list
- Workshop: Choosing the right metrics
Explore the ethical responsibilities behind HR analytics and AI. Learn how to protect sensitive data, identify hidden bias, and make fair, evidence-based decisions.
- HR data privacy: GDPR, CCPA, consent, minimization
- Historical bias
- AI hiring tools: Auditing AI tools for bias
- Case Study: Bias in automated candidate screening
- Workshop: Ethical dilemmas
Assignment #2: Data Readiness & Bias Audit
WEEK 3
Analytical Techniques: Testing Our Hypotheses
Demystify the statistics behind HR analytics. Learn practical techniques for interpreting data, validating insights, and explaining results with confidence.
- Statistics as a tool
- Telling a real difference from random noise
- Descriptive stats & the t-test
- Using AI to explain results clearly
- Demo: Using AI to explain statistical results in plain language
Put theory into practice using a real HR dataset. Test hypotheses, interpret results, and learn how to separate actionable evidence from misleading conclusions.
- Testing a real hypothesis on a live HR dataset
- Interpreting the results
- Working hands-on from question to answer
Assignment #3: Analysis & Interpretation
WEEK 4
Looking Ahead: Predictive Thinking & Its Limits
Learn how predictive models forecast workforce outcomes and where they can go wrong. Develop the judgment to evaluate AI-driven predictions rather than simply accept them.
- What a prediction actually claims
- Where forecasts go wrong & why
- Biased model predictions
- Building the judgement to question forecasts
- Discussion: Bias in predictive HR systems
Practice interpreting predictive analytics through a real HR case. Learn to identify limitations, uncover hidden assumptions, and decide when a forecast deserves your trust.
- Interpreting a real predictive output
- Spotting a model’s limitations & blind spots
- Identifying bias hiding in predictive logic
- Deciding when a forecast is worth trusting
WEEK 5
Data Storytelling: Communicating with Impact
Turn analysis into decisions through clear visual communication. Learn how to design compelling data stories that highlight insights and influence stakeholders.
- Six-step storytelling with data framework
- Using color, size, & position to direct attention
- Cutting the clutter that hides your finding
- Delivering insight aloud, with impact
Create dashboards that communicate, not overwhelm. Learn to transform raw HR data into focused, executive-ready visuals supported by clear narrative.
- Choosing metrics
- Building clean visuals
- Using AI to draft an executive summary
- Turning a data dump into a curated case
Assignment #4: Visuals & Dashboard
Assignment #5: Executive Story
WEEK 6
The Future of HR Analytics & Career Building
Discover how AI is reshaping HR analytics and where human judgment remains essential. Learn to use AI as a collaborator while strengthening the critical thinking skills it can't replace.
- The current AI landscape across HR
- The analyst’s role & AI
- Human skills AI can’t replace
- Improving real HR reporting with AI
- Workshop: Improving a piece of HR reporting using AI tools
Prepare for the future of HR analytics with emerging AI trends, portfolio-building strategies, and career guidance. Leave with practical tools to showcase your skills and grow into analytics-driven roles.
- Trends reshaping HR analytics
- Building a portfolio from your course project
- Preparing for analytics-adjacent roles & interviews
- Creating a business case
Final Project: HR Analytics Business Case
What our students say
"I really enjoy the format of the course. Lectures with real life examples and an ongoing case study. Also built in 20 minutes at the end of each class for questions is helpful."
"Overall I'm impressed with the level of detail and explanation around particular topics and subjects. There's a real depth to each module which for learning allows the information to stay in your brain."
"The group activities, they allow us to interact and exchange ideas, plus the way it is structured is challenging and mind twisting as we collaborate in different parts of the ideation."
"I enjoyed the structure of the class. I like how we learned about a topic and practiced it in the workshops. It’s helped me to apply what I learned!"