HR Analytics
Course Curriculum
- Introduction to HR Analytics
- Role of HR Analyst
- Types: Descriptive, Diagnostic, Predictive
- HR Data Lifecycle
- Outcome: Understand HR decision-making using data
- Recruitment Metrics (Time to Hire, Cost per Hire)
- Employee Metrics (Attrition, Retention, Absenteeism)
- Performance Metrics
- Diversity & Inclusion Metrics
- Outcome: Track workforce performance
- Data Cleaning
- Pivot Tables
- HR Dashboards
- Advanced Functions
- Outcome: Handle HR datasets professionally
- Extract HR Data
- Joins & Aggregations
- HR Queries
- Filtering & Reporting
- Outcome: Work with HR databases
- Power BI / Tableau
- HR KPI Dashboards
- Performance Dashboards
- Attrition Visualization
- Outcome: Present HR insights clearly
- Attrition Analysis
- Performance Analysis
- Salary Analysis
- Workforce Planning
- Outcome: Solve HR business problems
- Mean, Median, Mode
- Correlation
- Trend Analysis
- Hypothesis Testing
- Outcome: Data-driven decisions
- Attrition Prediction
- Performance Prediction
- Workforce Forecasting
- Python (Optional)
- Outcome: Advanced analytics skills
- HRMS Overview
- Excel & BI Tools
- ATS Systems
- Outcome: Real HR tech exposure
- Performance Dashboard
- Attrition Dashboard
- Recruitment Analytics
- Workforce Planning
- Insights & Recommendations
- Outcome: Portfolio-ready projects
- Resume Building
- Portfolio Creation
- Case Studies
- Interview Prep
- LinkedIn Optimization
- Outcome: Job-ready candidate