In a data-driven world, HR professionals must go beyond gut feeling and intuition. This course empowers learners to leverage data and analytics to make informed HR decisions that enhance performance, optimize talent strategies, and align with business goals.
By the end of this course, learners will be able to:
Understand the fundamentals and scope of HR analytics.
Collect, interpret, and analyze HR data effectively.
Build dashboards and generate reports for strategic decision-making.
Apply predictive analytics to workforce trends.
Drive organizational change using insights derived from people data.
What is HR Analytics?
Importance and evolution of people analytics
Types of HR analytics: descriptive, predictive, prescriptive
Key HR metrics and KPIs
Identifying the right HR data
HRIS and data management systems
Data quality and integrity
Surveys, exit interviews, and feedback loops
Recruitment metrics (time-to-hire, cost-per-hire)
Performance and productivity metrics
Employee engagement and retention analytics
Diversity and inclusion metrics
Overview of HR analytics tools (Excel, Power BI, Tableau, etc.)
Dashboards and visualization basics
Integrating data from multiple systems
Automation in HR reporting
Making sense of HR data
Storytelling with data
Using analytics to influence leadership
Building data-driven HR strategies
Forecasting turnover and talent needs
Predictive performance modeling
Scenario planning with HR data
Ethical use of data in HR decision-making
Build your own HR dashboard (Excel/Google Sheets)
HR metrics matching activity
Real-world analytics case study
Mini-project: Data-based HR proposal
On-demand video lessons and guides
Practical worksheets and templates
Downloadable hiring process checklist
Certificate of Completion
Lifetime access to updates for 12 months