Certified Advanced HR Analytics:
Data-Driven Decision Making for Strategic HR professionals
Industry Expert Faculties
Our trainers are highly experienced HR professionals who bring real-world expertise to the classroom.
Dr. SUMIT BHATTACHARYA
25+ Years of HR Experience
Chief Human Resources Officer
SPML Infra Limited - INDIA (The Largest Infrastructure company in South Asia)
"Asia's 100 Most Impactful HR Leaders Award 2025"
Universities connected with University of Minnesota, Yale University, University of Michigan, University of California, University of Toronto, University of Pennsylvania SHRM- USA
- Course Duration: 1.5 Months
- Class Duration: 2 Hours
- Total Session: 9
- Ongoing Batch: Batch 06
- Class Starts: 20 Sep, 25
- Classes on: Sunday & Thrusday
- Classes Time: 09:00 PM - 11:00 PM
Course Content
Module 1: Introduction to HR Analytics
Objective: Establish a foundational understanding of HR Analytics and its importance in modern organizations.
Overview: Definition and scope of HR Analytics.
Importance in HR Decision-Making: How data-driven insights can transform HR practices.
HR Analytics Framework: The basic structure and components of HR Analytics.
Key HR Metrics: Introduction to essential HR metrics such as employee turnover, retention rates, and employee engagement.
Module 2: Workforce Planning and Recruitment Analytics
Objective: Utilize HR Analytics to optimize recruitment and workforce planning processes.
Recruitment Funnel Effectiveness: Analyzing the recruitment process through various stages, from sourcing to hiring.
Quality of Hire: Measuring and improving the quality of new hires.
Selection Ratio and Cost Per Hire: Understanding and optimizing the selection ratio and associated costs.
Offer Acceptance Rate: Addressing issues related to offer acceptance and compensation through data insights.
Module 3: Performance Management and Employee Evaluation
Objective: Leverage HR Analytics to enhance performance management and employee evaluation systems.
Performance Metrics: Key performance indicators for individual and organizational performance.
Forced Ranking Method: Using normalization techniques like the Bell Curve in performance evaluations.
PMS Bell Curve Examples: Analyzing the impact of business outcomes on performance distribution.
Improving Performance Reviews: Using data to make performance reviews more equitable and impactful.
Module 4: Employee Engagement and Retention Analytics
Objective: Apply HR Analytics to improve employee engagement and retention strategies.
Engagement Metrics: Tools for measuring and analyzing employee engagement.
Retention Analysis: Identifying factors that contribute to employee turnover and developing strategies to retain top talent.
Predictive Analytics for Retention: Using data to predict and address potential turnover risks.
Engagement Initiatives: Data-driven approaches to designing and implementing employee engagement programs.
Module 5: Total Reward(Compesation & Benefits) Analytics
Objective: Integrate analytics into compensation and benefits to drive organizational success.
Total Rewards Framework: Understanding and applying the total rewards concept through analytics.
Compensation Structures: Analyzing and optimizing pay structures based on performance and market data.
Cost-Benefit Analysis: Evaluating the impact of various compensation and benefit programs.
Long-Term Incentives: Using data to design and justify long-term incentive plans.
Module 6: Advanced HR Analytics and Predictive Modelling
Objective: Explore advanced HR Analytics techniques and predictive modelling for strategic HR planning.
Predictive Modelling in HR: Introduction to predictive analytics tools and techniques.
Workforce Planning with Analytics: Connecting business strategy with talent strategy using data.
Case Studies: Real-world applications of advanced HR Analytics in organizations.
Future Trends in HR Analytics: Emerging technologies and methodologies shaping the future of HR.
Module 7: Project Presentation
-Make real life project presentation using modules
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Milestones and
Achievements
Highlighting our impactful accomplishments and successful milestones with meaningful metrics.