This 30-hour comprehensive skill development program is designed to equip students, researchers, and early-career academicians with the essential competencies required for effective scholarly writing, data-driven research, and impactful presentation. The course integrates research methodology, data analytics, and publication skills with the responsible and ethical use of Artificial Intelligence tools. Participants will learn to conceptualize research problems, conduct literature reviews, design methodologies, analyze data statistically, and communicate findings in scholarly formats. The program also emphasizes research integrity, publication ethics, and digital literacy through hands-on sessions with AI-assisted writing, visualization, and presentation tools. By the end of this course, learners will possess the technical and analytical skills to produce high-quality research papers, deliver professional presentations, and engage confidently in academic publication processes. Learning Outcomes By the end of the program, participants will be able to: 1. Design and conduct ethical research by understanding research principles, methodologies, and responsible use of AI tools. 2. Critically review and analyze literature to identify research gaps and establish a strong theoretical foundation using bibliometric and citation techniques. 3. Apply appropriate data analysis and visualization methods to interpret and present research findings effectively through statistical and digital tools. 4.Communicate research outcomes professionally through well-structured academic writing, proper referencing, and impactful presentations suitable for publication or conferences.
Dr. Uma Kamboj is an experienced academician and researcher with a distinguished record in scientific writing, research methodology, and data interpretation.
Dr. Neha Munjal is an accomplished academician and researcher with expertise in Research Methodology, Scholarly Writing, Data Analytics, and Scientific Communication. She actively incorporates AI tools to enhance research and learning, while promoting ethical and responsible AI use in academic and professional settings.