R Programming for Research (18th - 22nd December 2024)

Event Date: 18^th - 22^nd December 2024

Introduction The Centre of Excellence for Business Analytics at Galgotias University conducted a comprehensive 5-day Faculty Development Program (FDP) on “RProgrammingforResearch”from December 18th to December 22 nd , 2024. This program aimed to equip faculty members with

advanced statistical and programming skills, enabling them to incorporate data-driven insights into their academic and research work. The program featured both internal experts and distinguished external resource persons, offering participants a balanced blend of theoretical knowledge and practical expertise.Center Of Excellence For Business Analytics is Headed by Dr. Neeraj Bali.

ProgramObjectivesThe primary objectives of the FDP were:

1. Tointroduce participants to foundational and advanced concepts in statistical modeling and data analysis.Descriptive analytics and fundamentals of research was also covered.
2. Toenhance the application of Structural Equation Modeling (SEM), mediation, and moderation analysis in research.
3. Toprovide hands-on experience with Multiple Linear Regression (MLR) and other analytical techniques using R.
4. Tofoster a data science mindset through collaborative learning and industry project

ParticipantsandTrainersThe FDP saw active participation from faculty members across various disciplines. The sessions were led by a blend of internal faculty and external experts:

InternalTrainers:

• Neeraj Bali (Business Analytics)
• Bala Shiwangi (IT)
• Priyanka Malik (Business Analytics)
• Palak Gupta (Business Analytics)
• Ajeet Kumar (Business Analytics)

ExternalTrainers:

• Sonakshi (M.Sc. in Statistics)
• Anshul Ujliyan (Ph.D. Statistics)
• Ayush Saini (Machine Learning Engineer, OneSec Delivery Inc., Switzerland)

ProgramContent

1. StatisticalModelingConcepts: Overview of model assumptions, types, and implications of
2. StructuralEquationModeling(SEM): Concepts, model specification, and model fit indices like

3. MediationAnalysis: Techniques for testing mediation effects and real-world
4. ModerationAnalysis: Interaction terms in regression and application
5. MultipleLinearRegression(MLR): Basics, model building, and interpreting
6. IntegrationofTechniques: Combining SEM, mediation, and MLR for comprehensive
7. Hands-OnWorkshops: Practical sessions using statistical tools and
8. IndustryProjects: Discussions on real-world case studies and their research

OutcomesThe FDP successfully achieved its objectives, with participants reporting a marked

improvement in their understanding of statistical concepts and R programming. The hands-on approach enabled faculty to apply these techniques in their research endeavors. Networking sessions facilitated peer learning and collaboration opportunities for future research projects.

ConclusionThe 5-day FDP on “R Programming for Research” was a resounding success, reinforcing the Centre of Excellence for Business Analytics’ commitment to faculty development and research

excellence. The program not only empowered participants with practical skills but also strengthened the university’s reputation as a hub for advanced learning and innovation.