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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.
Syllabus
- Course 1: Introduction to Generative AI in Human Resources
- Course 2: HR Management Fundamentals: Recruitment to Development
- Course 3: Data Foundations & Methods
- Course 4: Analytics Application & Insight
- Course 5: Communicate Insights Clearly
- Course 6: Employee Attrition Prediction Using Machine Learning
- Course 7: Collect and Share Employee Feedback with Officevibe
Courses
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Officevibe is an online feedback tracker that helps human resources and managers alike keep a finger on the pulse of their organization and teams. Whether it’s conducting one-on-one meetings, creating team surveys and reports to better understand your team, or preparing employee reviews – Officevibe can do it all. Officevibe is a simple platform which can help you perform all of your management duties while developing trust, fostering collaboration, and improving overall team performance. The goal of Officevibe is to focus on the human side of the job and create a more efficient and effective team through personal connections. This project will explore the many free features of Officevibe and get you well on your way to becoming a more effective leader. Officevibe’s easy to use features allow you to streamline the feedback process and maximize your conversations with your employees. With Officevibe, feedback goes both ways which allows you to eliminate blind spots and better develop your employees and team. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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In this project-based course, we will build, train and test a machine learning model to predict employee attrition using features such as employee job satisfaction, distance from work, compensation and performance. We will explore two machine learning algorithms, namely: (1) logistic regression classifier model and (2) Extreme Gradient Boosted Trees (XG-Boost). This project could be effectively applied in any Human Resources department to predict which employees are more likely to quit based on their features. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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The "Introduction to Generative AI in Human Resources" course is designed to provide you with a foundational understanding of how cutting-edge AI technologies are transforming the field of human resources. As the role of HR continues to evolve, leveraging generative AI presents exciting opportunities for professionals to enhance recruitment, employee engagement, and overall organizational efficiency. This course will demystify the complex world of AI, making it accessible and applicable to HR professionals, business leaders, and those interested in learning more about the intersection of AI and human resources. By the end of this 3-hour course, you will be able to: LO1: Explain Generative AI's potential to drive efficiency and innovation in HR functions. LO2: Identify real-world applications of Generative AI within recruitment and talent management. LO3: Evaluate the impact of Generative AI on HR processes and employee engagement. LO4: Analyze the ethical considerations of using Generative AI in HR, including bias and data privacy issues. Throughout the course, you will explore key concepts related to generative AI, including its core functionality, potential applications, and the ethical considerations of using AI in HR practices. By understanding how generative AI works, learners will gain valuable insights into how this technology is revolutionizing recruitment, talent management, and employee engagement strategies.
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Human resources are not just about filling roles—it’s about creating meaningful experiences that drive individual and organizational success. From the very first handshake to long-term career growth, HR plays a pivotal role in shaping the future of any company. In this course, we’ll explore every stage of the HR lifecycle, equipping you with practical strategies and techniques to enhance recruitment, performance management, engagement, and development. Whether you’re an HR pro or just starting your journey, this course will give you the tools to make a real impact. Ready to discover how HR can transform not just individuals, but entire organizations? Let’s dive into the fascinating world of HR functions and unlock the potential of your workforce! This course is designed for HR professionals, team leaders, and managers who want to strengthen their recruitment and employee development skills. Whether you're responsible for hiring new talent, managing teams, or enhancing workplace engagement, this course will provide valuable insights and practical strategies to improve HR functions and drive organizational success. Participants should have a basic understanding of HR concepts, along with familiarity with HR tools and software. An interest in optimizing recruitment, onboarding, performance management, and employee development will help learners gain the most from this course. By the end of this course, learners will be able to explain key HR functions and their impact on business success, execute effective recruitment and onboarding strategies, and apply performance management techniques to enhance employee engagement. Additionally, they will be equipped to design learning and development plans that foster professional growth and long-term organizational sustainability.
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Your analysis is brilliant—but does anyone understand it? In many organizations, HR analytics insights never reach decision-makers because they're buried in jargon and technical detail. This course shows you how to bridge that gap. You'll apply your understanding of why the same data lands differently depending on the audience—and how to frame findings for executives, managers, and employees. You'll draft a one-page executive summary that translates turnover statistics into plain-language recommendations using a structured template. You'll also use AI tools like ChatGPT or Claude to refine your communication, while practicing the verification skills that ensure accuracy. Through realistic role plays, you'll practice delivering findings under pressure—including a hallway conversation with a time-strapped CEO and a structured walkthrough with a detail-oriented CFO. In coach dialogues, you'll navigate conflicting stakeholder feedback and learn to address requests for 'more data' by strengthening your narrative instead. Designed for HR professionals, people analytics practitioners, and anyone who needs to turn workforce data into action. Basic familiarity with HR analytics concepts is helpful. Access to free ChatGPT or Claude recommended.
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This course focuses on applying analytics techniques to real HR challenges. You'll learn to track workforce metrics, identify talent risks, analyze engagement drivers, and support data-informed decisions. You'll begin by building workforce dashboards using core HR metrics such as time-to-hire and absenteeism. You'll then analyze talent-management data to identify retention risks and high-potential employees. The course also introduces structured problem-solving methods, including root-cause analysis for workforce challenges. You’ll practice decision-making using weighted matrices and learn to measure engagement using survey data. A Generative AI literacy module demonstrates how AI tools can support analytics workflows and insight generation. The course concludes with a hands-on project building a workforce health dashboard. This course is ideal for professionals who want to move from reporting HR data to using analytics for decision-making and workforce planning.
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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.
Taught by
Abby Saey, Ahmed Hassan, Dr. Ryan Ahmed, Professionals from the Industry, Professionals in the Industry, Ridhi Arora, Ritesh Vajariya, and Starweaver