HR professionals who can collect data are common. Those who can analyze it, communicate it clearly to executives, and use AI to accelerate insight generation are far more valuable. This program builds exactly that skill set.
People Operations Analyst: HR Metrics, Engagement, and AI is an intermediate program designed for HR professionals, people analytics practitioners, HR business partners, and business professionals who want to develop rigorous analytical and communication competency in a human resources context. Across eight focused courses and guided projects, you will master the complete people operations analyst workflow: learning HR management fundamentals across the full employee lifecycle, understanding generative AI applications in HR, building data literacy with core HR metrics and statistical methods, applying analytics to workforce dashboards and talent risk identification, communicating insights to executives and managers using AI-assisted storytelling, collecting & analyzing employee engagement feedback, and building machine learning models to predict employee attrition.
You will work with tools including Excel, ChatGPT, Claude AI, Officevibe, Python, Scikit-Learn, & HR analytics platforms throughout, applying hands-on techniques to realistic workforce scenarios.
By the end of the program, you will be equipped to analyze, visualize, and communicate people data with the strategic clarity and analytical rigor that modern HR and people operations roles demand.
Projet d'apprentissage appliqué
Throughout this program, you will complete hands-on projects that reflect real people operations workflows. You will calculate core HR metrics including turnover and tenure, apply statistical techniques to engagement data, build workforce trend charts, and compile structured analytics reports. You will build workforce dashboards tracking time-to-hire and absenteeism, identify talent retention risks, and apply root cause analysis to workforce challenges. You will draft a one-page executive summary translating turnover statistics into plain-language recommendations and practice delivering findings through realistic role-play scenarios using ChatGPT and Claude. You will create pulse surveys, one-on-one meeting agendas, and team goals in Officevibe to collect employee engagement data. You will also build, train, and evaluate logistic regression and XGBoost models to predict employee attrition using Python and Scikit-Learn. Each project produces a portfolio-ready artifact.
