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Human Resource Analysis

Course Description: The methodology of the "HR Analytics/Workforce Analytics" course focuses on transforming raw employee data into strategic insights that support decision-making. This is achieved through a systematic scientific approach involving several stages.
Credit hours: 3
Objectives of the course :

1- Decision Support: Transforming the HR department from an “operational” department to a “strategic partner” that makes decisions based on evidence and data rather than guesswork.
2- Improve recruitment processes: Use analytics to identify the best sourcing channels and reduce “time to hire.”.
3. Improving production efficiency: Identifying gaps in employee performance and linking them to larger organizational goals.
4. Talent Retention: Predicting turnover rates and understanding the reasons for employee resignations to work on retaining them.

Course outputs :

– Develops accurate KPIs such as absenteeism rate, cost per hire, and performance quality. Data Cleaning and Preparation:
Uses the skill of collecting data from multiple sources (e.g., payroll statements, performance reviews).
Applies various data analysis skills to organize them for analysis.
– Employs written communication skills.
– Differentiates the house of issues and ethical standards in data collection.

Additional information:
  • Last updated: 2026-05-10

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