This course provides a comprehensive overview of HR
Analytics, including data analysis techniques, tools, and applications in the HR field.
Students will learn how to leverage data to make informed HR decisions and improve
organizational outcomes.
Course Objectives:
1. Understand the fundamentals of HR Analytics and its importance.
2. Learn to collect, clean, and analyze HR data.
3. Gain proficiency in using HR Analytics tools and software.
4. Develop skills to interpret data and present findings effectively.
5. Apply HR Analytics to real-world HR problems and scenarios.
Module 1: Introduction to HR Analytics (Weeks 1-2)
• Topics Covered:
o Overview of HR Analytics
o Importance and benefits of HR Analytics
o HR metrics and KPIs
o Data-driven decision-making in HR
• Activities:
o Readings
o Case studies
o Discussion forums
Module 2: Data Collection and Management (Weeks
3-4)
• Topics Covered:
o Data sources in HR
o Data collection techniques
o Data quality and cleaning
o Data management best practices
• Activities:
o Hands-on exercises
o Data collection projects
o Group discussions
Module 3: HR Analytics Tools and Techniques (Weeks
5-8)
• Topics Covered:
o Introduction to HR Analytics tools (Excel, R, Python, Tableau, etc.)
o Descriptive analytics
o Predictive analytics
o Prescriptive analytics
• Activities:
o Software tutorials
o Analytical exercises
o Tool-specific projects
Module 4: Workforce Planning and Talent Management
Analytics (Weeks 9-12)
• Topics Covered:
o Workforce planning analytics
o Talent acquisition analytics
o Performance management analytics
o Employee engagement and retention analytics
• Activities:
o Case studies
o Analytical projects
o Group discussions
Module 5: Compensation and Benefits Analytics (Weeks
13-16)
• Topics Covered:
o Compensation structure analysis
o Benefits program analysis
o Pay equity analysis
o Incentive and rewards analytics
• Activities:
o Data analysis exercises
o Case studies
o Group projects
Module 6: Learning and Development Analytics (Weeks
17-20)
• Topics Covered:
o Training needs analysis
o Learning effectiveness measurement
o Skill gap analysis
o Development program analytics
• Activities:
o Analytical projects
o Case studies
o Group discussions
Module 7: HR Data Visualization and Reporting (Weeks
21-24)
• Topics Covered:
o Data visualization principles
o Creating HR dashboards
o Reporting techniques
o Communicating insights effectively
• Activities:
o Visualization projects
o Dashboard creation exercises
o Presentation skills workshops
Module 8: Capstone Project (Weeks 25-26)
• Project Description:
o Students will work on a comprehensive capstone project that involves solving a
real-world HR problem using the skills and knowledge gained throughout the course.
