Day 1: Introduction to HR Analytics and Data-Driven Decision Making
Understanding the concept and importance of HR Analytics
Overview of the HR analytics process: From data collection to reporting
Introduction to key HR metrics: Recruitment, retention, performance, and engagement
How to align HR metrics with business strategy
Day 2: Collecting and Managing HR Data
Identifying the right sources of HR data: Internal and external sources
Best practices for data collection: Surveys, employee databases, performance records
Data cleaning and preparation: Ensuring accuracy and consistency
HR Information Systems (HRIS) and their role in data management
Day 3: Analyzing and Interpreting HR Data
Basic statistical techniques used in HR analytics
Tools and software for analyzing HR data (e.g., Excel, Tableau, Power BI)
How to interpret HR metrics and trends
Case study: Analyzing turnover and retention data
Day 4: Predictive Analytics in HR
Introduction to predictive analytics and its role in HR decision-making
Forecasting future HR trends: Talent acquisition, workforce planning, and performance
Using regression models to predict employee behavior and performance
Case study: Applying predictive analytics for talent management
Day 5: Reporting and Implementing HR Analytics
Creating clear and impactful reports for HR metrics and analytics
Communicating insights to senior leadership: Data visualization and storytelling
Ethical considerations in HR data and analytics
Course wrap-up: Action planning and applying HR analytics to real-world scenarios
