Practical HR Statistics: Analyzing Employee Data with AI

Are you guessing whether your employee engagement survey results actually show a real trend, or if they are just random noise? In today's data-driven workplace, HR professionals need to move beyond gut feelings and confidently interpret people data. This text-only course guides you through the foundational statistical concepts needed to analyze workplace data. You will learn how to set up basic tests, interpret survey differences, and leverage AI assistance to write formulas and explain complex data patterns, transforming you into a data-literate HR decision-maker. What you'll learn: 1. Understand core HR metrics, descriptive statistics, and foundational data terminology. 2. Analyze employee engagement surveys to identify statistically significant differences. 3. Apply basic statistical tests like t-tests and chi-square tests to common HR scenarios. 4. Utilize AI prompts to generate data-cleaning steps and explain statistical outputs. 5. Interpret correlation versus causation when examining retention and performance data. 6. Navigate ethical considerations and data privacy standards in HR analytics. The course begins with essential HR data concepts and terminology before moving into step-by-step written tutorials on statistical testing. You will practice interpreting real-world HR scenarios and using AI models to simplify your analysis workflow. This course is designed for HR professionals, recruiters, and people managers who are new to data analytics and want to build confidence with numbers without any prior statistical background. Start reading today to unlock the power of data-driven people decisions.