5th Certified Online Program On
PEOPLE ANALYTICS
Futuristic HR Management with Data-Driven Analysis
APPLY BEFORE
22/09/2023
BATCH V - OCTOBER 2023
Overview
Data Driven HR Management
Over the years, the HR function has moved away from being just a support function doing mundane and repetitive transactional tasks to being an enabler of the business and helping leaders take key strategic decisions. This has been largely possible because the HR function has started to take a data-driven approach to manage people. People analytics is at the heart of this approach.
People Analytics helps leading organizations to make smarter, more strategic and more informed talent decisions. It plays an essential role in providing access to critical data-driven insights about the workforce thereby improving the overall decision-making efficiency to a large extent. Research by McKinsey suggests that People Analytics can help with an 80% jump in recruitment efficiency, a 25% boost in business productivity, and a 50% reduction in attrition rate.
HR professionals must develop a conceptual understanding of the various analytical techniques and be exposed to hands-on experience in statistical analysis to master this must-have competency. In this context, the CII - Centre of Excellence for Leadership has launched its flagship 7th edition of the Certified Online Programme on People Analytics.
Program Highlights
Key takeaways from this certification
Equip participants to leverage data and analytics for informed, evidence-based HR decisions.
Enable HR professionals to apply AI and Machine Learning to improve workforce and talent outcomes.
Strengthen analytical thinking, statistical interpretation, and data visualization capabilities.
Drive HR transformation through responsible, ethical, and AI-enabled decision-making.
Program Features
Why this program stands out
100% LIVE, 2-way interactive online sessions
Designed for working professionals – sessions outside normal working hours
Comprehensive curriculum covering statistics, AI, ML, and HR domain analytics
Hands-on learning
Case assignments and quizzes
Certification upon successful completion
Who Should Attend?
Ideal profiles for this course
HR professionals responsible for strategic decision-making and workforce planning
Business leaders seeking to embed data-driven practices within HR functions
Analysts and data enthusiasts aiming to build AI-driven HR insights and dashboards
Working professionals interested in applying AI and analytics in people management
Pedagogy
How you will learn
Live Lectures
Experiential Evaluation
Case Studies from HBS
Live Project Presentation
Analytical Exercises
Feedback in Small Groups
Learning Journey
Your path to mastery
Program Content
Comprehensive curriculum breakdown
Core Purposes of People Analytics
- Identify trends and patterns
- Develop scenarios and predict outcomes
- Decision areas for HR value
- Importance of data science knowledge
- People Analytics in the Age of AI (with specific reference to the above bullet points)
Foundation Knowledge: Building Statistical Skillset
- Basic Statistics
- ANOVA
- Analytical & Data Foundations for HR Managers (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
Data Issues
- Efficiency, Effectiveness & Outcome Measures
- Employee Database creation & tracking
- Data Foundations for AI-Driven People Analytics (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
AI and Machine Learning for HR using Big Data as required
- Key AI and ML concepts for HR decision-making
- Use ML to predict attrition and identify top performers
- Apply supervised and unsupervised learning on HR data
- Explore tools like Power BI, Workday AI, and predictive dashboards
- Experience sharing by the participants and faculty, case discussion, quiz
Workforce Analytics
- HR KPIs
- Compensation
- Recruitment & Onboarding
- Absence tracking
- Redeployment, retraining, workforce planning
- AI in Workforce & Performance Analytics (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
Engagement Analytics
- Designing engagement processes
- Gamification
- Deployment & tracking
- AI-Driven Engagement & Culture Analytics (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
Learning & Development Analytics
- Training strategies
- Learning enrolment
- Knowledge sharing
- Leadership development
- AI in Learning & Development Analytics (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
Talent Management Analytics
- Talent supply chain optimization
- Targeted Analytics to Improve Talent Decisions
- Career paths & succession planning
- AI-Enhanced Talent Management (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
Leveraging LinkedIn Data for Smarter HR Decisions
- Analyze talent trends and skill gaps using LinkedIn data
- Track competitor hiring and workforce moves
- Measure employer branding and engagement
- Use insights for smarter sourcing and planning
- Use AI to extract patterns and predict talent trends from LinkedIn data
- Experience sharing by the participants and faculty, case discussion, quiz
Emotional Intelligence Integration: Use of empathy maps, EI reflection sheets
- Link EI with data insights
- Use empathy maps for employee understanding
- Apply EI sheets for self-awareness
- Blend empathy with analytics
- Humanizing HR decisions
- Use of AI tools to detect emotional tones and behavioral patterns
- Experience sharing by the participants and faculty, case discussion, quiz
Generative AI in People Analytics
- Automating performance review summaries
- Creating job descriptions
- AI assistants for HR operations
- Experience sharing by the participants and faculty, case discussion, quiz
Infrastructure for People Analytics
- Understand HR data architecture and system integration
- HR platforms & software evaluation
- Learn how AI infrastructure enables predictive HR insights
- Experience sharing by the participants and faculty, case discussion, quiz
Driving Organizational Change
- Motivation
- Empowerment & Accountability
- Performance Management Cycle
- Driving HR Transformation through AI Insights (with specific reference to the above bullet points)
- Experience sharing by the participants and faculty, case discussion, quiz
Responsible & Ethical AI in People Analytics
- Explainable AI
- Algorithmic fairness
- Human oversight & responsible automation
- Experience sharing by the participants and faculty, case discussion, quiz
Program Directors & Faculty
Learn from the experts
Prof. Ranjan Das (Program Director)
Distinguished thought leader in Strategy, Innovation, Entrepreneurship, and Leadership.
Prof. Pratyush Banerjee
Professor at IMIB and holds a PhD. Over 15 years of combined experience.
Prof. Dipa Mitra
Professor at IISWBM Kolkata. A Wharton-certified leader with 25 years of Academic experience.
Prof. Trinanjan Chakraborty
Expert in market research, consumer insights, and data analytics with 18+ years experience.
Facility Title
Assessment
Evaluation criteria
Multi-element evaluation criteria
| Description | Weight |
|---|---|
| Attendance level during faculty conducted 100% LIVE online sessions | 10% |
| Engagement level in class discussion (Class Participation) during faculty conducted 100% LIVE online sessions | 10% |
| Quiz | 15% |
| Case assignment | 10% |
| Action Learning Project | 15% |
| Program End Examination | 40% |
| Total | 100% |
Certification criteria
| Cumulative Attendance & Class Participation | Overall Grade | Nature of Certificate |
|---|---|---|
| 60% - 100% | Average/Good/Excellent | Successfully Completed |
| 40% - 100% | Fair | Completed |
| 40% - 59% | Average/Good/Excellent | Completed |
| 30% - 39% | Good/Excellent | Completed |
| 30% - 39% | Average/Fair | Participated |
| 30% - 100% | Poor | Participated |
| 0% - 29% | Excellent/Good/Average/Fair/Poor | No Certificate |
Note: Participants meeting attendance, performance requirements and engagement level in class discussions will receive an Executive Certificate in People Analytics jointly issued by CII-SNCEL and The Strategy Academy Centre for Advanced Studies.
Certification
Our Corporate Partners
Learners Speak
Hear from our alumni
The program was overall good; it helped in learning how to work on different people data to gain data-driven insights for making decisions on various people processes and turning them into actions. During the course, we explored various statistical tools and software for data analysis and saw how analyzing people data can significantly benefit different HR processes.
The programme was very informative and useful. The faculty was knowledgeable and helpful, providing practical examples and supporting participants in implementing these insights at the workplace. I would definitely recommend it to anyone wishing to improve their understanding of data analytics and convert it into actionable projects.
I attended the People Analytics Programme and found it incredibly useful. It provided me with a solid foundation in the basics of analytics and showed me how to implement these for organizational improvement. The faculty members are well-versed in their topics and very interactive. Thanks to the team for such a wonderful learning experience.
The program was really beneficial in understanding the usage of various analytical tools in HR Analytics. The sessions were quite interactive with learned faculty, and I always looked forward to our weekly meetings.
The program design is quite effective for beginners, as basic statistical concepts are refreshed before moving into advanced analysis. The pacy yet adaptable progression of content delivery has been a highlight. The faculty were very patient and cleared all doubts, making it easy to absorb concepts even for those from non-statistical backgrounds. A fabulous program for HR Analytics beginners.
The course was very informative and covered all the essential details of people analytics. The faculty were highly professional. This course provides strategic, data-driven methods for routine HR processes and emphasizes the importance of data management and usage. I highly recommend it!
About Us
Who we are
The Confederation of Indian Industry (CII) works to create and sustain an environment conducive to the development of India, partnering Industry, Government and civil society, through advisory and consultative processes.
CII is a non-government, not-for-profit, industry-led and industry-managed organization, with around 9,000 members from the private as well as public sectors, including SMEs and MNCs, and an indirect membership of over 365,000 enterprises from 294 national and regional sectoral industry bodies.
For more than 125 years, CII has been engaged in shaping India's development journey and works proactively on transforming Indian Industry's engagement in national development. CII charts change by working closely with Government on policy issues, interfacing with thought leaders, and enhancing efficiency, competitiveness, and business opportunities for industry through a range of specialized services and strategic global linkages. It also provides a platform for consensus-building and networking on key issues.
Participation Fee
Investment for your future
CII MEMBERS (PER PARTICIPANT):
INR. 55,000/- + 18% GST
NON-MEMBERS (PER PARTICIPANT):
INR. 60,000/- + 18% GST
The payment has to be made within 15 days from the date of registration
- Prior registration is essential.
- Participant fee once paid is non-refundable; however change in nomination(s) is acceptable
- Membership No. is to be mentioned. (if a member)
- Group Discount of 10% will be given to organizations who nominates 3 or more participants.