June 2026 – December 2026
Online (Microsoft Teams)
June 2026 – December 2026
Online (Microsoft Teams)
Organized by the School of Business, IIT Guwahati
| Mode | Online (Microsoft Teams) |
| Duration | 6 Months |
| Program Dates | June 2026 – December 2026 (Tentative start: 22 June 2026) |
| Class Timing | 6:00 PM – 7:30 PM |
| Academic Division | School of Business, IIT Guwahati |
Assistant Professor, School of Business
himanshu_gupta@iitg.ac.in
Indian Institute of Technology Guwahati
Assistant Professor, School of Business
issacac@iitg.ac.in
Indian Institute of Technology Guwahati
Dr. Himanshu Gupta is an Assistant Professor in the School of Business at the Indian Institute of Technology, Guwahati, India. He holds a Ph.D. in Management with a specialization in Organizational Behaviour and Human Resource Management from the Indian Institute of Technology Roorkee. Prior to joining IIT Guwahati, Dr. Gupta was associated with T. A. Pai Management Institute (TAPMI) Bengaluru, where he served as an Assistant Professor and Area Chairperson for Organizational Behaviour and Human Resource Management. He has published several research papers in international journals and has presented his work at numerous international conferences. His academic interests include Organizational Behaviour, Human Resource Management, precarious and gig employment, health, well-being and spirituality, labour migration, and generational differences in the workplace.
Dr. Abraham Cyril Issac is an Assistant Professor in the School of Business at the Indian Institute of Technology Guwahati, India. He is a joint Ph.D. from Indian Institute of Technology, Madras, and Swinburne University of Technology, Melbourne, Australia. He is a Mechanical engineer from Malaviya National Institute of Technology Jaipur and has completed postgraduate degrees in Business Administration, Psychology, and Business Law from the National Institute of Technology Calicut, University of Madras, and NLSIU Bangalore respectively. He is also a trained thermal powerplant engineer and now specializes in Organizational Behavior with a special focus on a relatively new construct of Knowledge hiding and is one of the most productive researchers in the area. His academic interests include Organizational Behaviour, Human Resource Management, Knowledge Management and Strategy. He has published and presented extensively in various reputed international journals and conferences. Moreover, he is a well-known OB and Industrial Psychology consultant, and engages actively in consultancy, training and coaching programmes.
This program aims to equip executives to move beyond intuition and lead with powerful, data-driven HR strategies. Through hands-on exposure to descriptive, diagnostic, predictive, and prescriptive analytics, participants learn to convert workforce data into actionable business insights. The course sharpens talent decisions, strengthens workforce planning, and links HR metrics directly to organisational performance. With practical tools like Power BI and Tableau, leaders can align people strategy with business outcomes. In an AI-driven era, this program empowers executives to not just manage talent—but to strategically future-proof it.
All Participants: ₹75,000 + 18% GST = ₹88,500
Maximum: 100
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Foundations of Human Resource Management |
• Foundations of HRM • Recruitment & Selection • Training and Development • Performance Management • Compensation and Benefits • Enrichment Topics in HRM |
Understand the core concepts of HRM and apply HR practices such as recruitment, training, performance management, and compensation to support employee and organizational development. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Business Environment and Strategic Management |
• Environment scanning and analysis • Foundations of Strategic Management • Alignment of Business Strategy with HR Strategy |
Understand business environment analysis and strategic management principles and align HR strategies with business goals. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | HR as a Strategic Tool |
• HR Manager as a Business Partner • HR Issues in Mergers and Acquisitions • HR Issues in Downsizing and Restructuring • International HRM |
Understand HR as a strategic partner and its role in organizational decision-making and managing HR challenges in complex environments. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Foundations of HR Analytics |
• Introduction to HR Analytics • Strategic Focus of HR Analytics • HR Analytics Theories and Frameworks • Ethical Considerations in HR Data |
Understand key HR analytics concepts and frameworks and the ethical handling of workforce data. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Descriptive HR Analytics |
• HR datasets understanding • Recruitment Analytics • Training & Development Analytics • Performance Management Analytics • Compensation Analytics • Attrition & Turnover Analytics |
Apply descriptive analytics to HR datasets and interpret workforce metrics for better decision making. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Diagnostic HR Analytics |
• Foundations of Statistics • Pulse Surveys in Organizations • Qualitative & Quantitative Methods • Root Cause Analysis |
Understand statistical and research methods to diagnose HR issues using data. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Predictive HR Analytics |
• HR demand & supply forecasting • Data cleaning & preparation • Predictive analytics using Excel • Regression using SPSS & AMOS • AI in HRM |
Use predictive analytics methods to forecast HR trends and workforce requirements. |
| Time | Title of Lecture | Concepts Covered | Learning Outcomes |
|---|---|---|---|
| 6:00 – 7:30 PM | Prescriptive HR Analytics |
• Visualization tools (Visier, Power BI, Tableau) • HR Systems & Data-based decision making • Business report preparation • Harvard case study analysis |
Apply prescriptive HR analytics and visualization tools to support strategic HR decision making. |
Online descriptive / MCQ examination at the end of the course. Participants who successfully pass the assessments will receive a Certificate of Completion issued by IIT Guwahati.
For any queries, contact: hosoes@iitg.ac.in