HR Analytics and People Data
Why colleges run this
HR is becoming data-driven; management graduates who can analyse people data bring a scarce, decision-shaping skill to any HR team.
Course outcomes
CO1
Identify the core HR metrics and their data sources
K2CO2
Analyse attrition and hiring data for patterns
K4CO3
Build an HR dashboard of workforce metrics
K3CO4
Interpret people data while respecting privacy
K4CO5
Produce a people-analytics report with recommendations
K5Modules tap a module for its theory & lab
Hours shown are the recommended 3-day format — module time scales to the duration you pick.
01HR analytics foundations4 h
Theory
Metrics, the people-data landscape
Lab
Map HR metrics to decisions
Output
Metric map
02HR data4 h
Theory
Sources, quality, ethics and privacy
Lab
Assess a people dataset
Output
Data assessment
03Descriptive people analytics4 h
Theory
Headcount, attrition, diversity metrics
Lab
Compute workforce metrics
Output
Metrics report
04Predictive basics4 h
Theory
Attrition risk, drivers
Lab
Model attrition drivers
Output
Driver analysis
05Visualisation and reporting4 h
Theory
HR dashboards
Lab
Build an HR dashboard
Output
HR dashboard
06Capstone4 h
Theory
A people-analytics report with recommendations
Lab
Produce a people-analytics report
Output
People-analytics report
Every participant receives
Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice Optional nasscom NSQF assessment