FDP on JNU. Delhi, Exploring Data Analytics and AI
Event Name: JNU. Delhi, Exploring Data Analytics and AI
Event Date: 17th -21st June 2024
Faculty Coordinators: Prof. Mohit Agrawal, Prof Sachin Sinha, Dr Saumendra Mohanty, Prof Neha Issar and Dr Neetu Kamra
Event Timings: 10:00 AM-4:00 PM
Number of Participants: 365
Venue: Online
Report on Faculty Development Program / Workshop
“Exploring Data Analytics and Artificial Intelligence” Organized for Jawaharlal Nehru University (JNU), Delhi
1. Introduction
Jawaharlal Nehru University (JNU), Delhi, successfully conducted an online Faculty
Development Program titled “Exploring Data Analytics and Artificial Intelligence” from
17th to 21st June 2024. The program was organized to provide participants with
comprehensive exposure to the rapidly evolving domains of data analytics and artificial
intelligence. Conducted in online mode from 10:00 AM to 4:00 PM, the program witnessed
active participation from a large and diverse group of learners.
2. Objective of the Program
The primary objective of the program was to enhance participants’ understanding of data
analytics and AI and their applications in academic, research, and professional contexts. The
program aimed to:
- Introduce core concepts of data analytics and artificial intelligence
- Develop analytical and data-driven thinking
- Provide hands-on exposure to analytics and AI tools
- Enable participants to apply analytical techniques to real-world problems
- Promote technology-enabled learning and continuous skill development
3. Trainers / Faculty Coordinators
The program was coordinated and delivered by a team of experienced academicians and
domain experts:
- Prof. Mohit Agrawal
- Prof. Sachin Sinha
- Dr. Saumendra Mohanty
- Prof. Neha Issar
- Dr. Neetu Kamra
The trainers brought strong academic expertise and practical insights, ensuring effective
knowledge transfer and participant engagement throughout the program.
4. Highlights of the Sessions
The five-day program featured a blend of expert lectures, hands-on demonstrations, and
interactive discussions. Key topics covered during the sessions included:
- Fundamentals of data analytics and artificial intelligence
- Data preprocessing, analysis, and interpretation techniques
- Introduction to AI and machine learning concepts
- Applications of analytics and AI across business and research domains
- Use of analytical tools for visualization and decision-making
- Case studies and real-world applications of AI-driven analytics
The sessions were designed to encourage active participation, peer learning, and practical
understanding.
5. Key Outcomes
The program achieved significant outcomes, including:
- Enhanced understanding of analytics and AI concepts
- Improved ability to analyze and interpret complex datasets
- Greater awareness of real-world applications of AI and analytics
- Strengthened analytical and problem-solving skills
- High participant engagement, with 365 participants successfully completing the
program
6. Conclusion
The online FDP on “Exploring Data Analytics and Artificial Intelligence” conducted for JNU, Delhi was a resounding success. The program effectively addressed the growing need for data-driven and AI-oriented competencies among academicians and professionals. Through expert guidance, interactive sessions, and practical exposure, the FDP contributed meaningfully to participants’ academic and professional development. The initiative reaffirmed the institution’s commitment to promoting excellence in technology-enabled education and continuous learning.