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31 January 2026 (7:00pm to 9:00pm) Resource Person: Dr. Shriya Tripathi, Assistant Professor, Gujarat University Dr. Shriya Tripathi is a faculty at Gujarat University and a seasoned Corporate Trainer. With a Ph.D. from Durg University, UGC-NET, and SET certifications, Dr. Tripathi brings a solid academic foundation to her work. She earned her M.Com in Business Management from Narsee Monjee College, Mumbai, and her BMS from K.P.B. Hinduja College of Commerce, Mumbai. With over five years of experience in both teaching and corporate training, Dr. Tripathi has developed a deep passion for areas such as Management, Experiential Learning, Communication, and Soft Skills. Her research contributions, including books, chapters, case studies, and papers, have been published in both national and international journals and presented at various conferences. As a resource person, Dr. Tripathi has conducted numerous workshops and training sessions, sharing her knowledge and expertise with both professionals and academics. About the Workshop: This FDP is designed to improve student’s engagement by professors by providing hands-on activities, simulations, real-world projects, and reflective exercises to deepen their understanding and application of theoretical concepts. Participants develop skills in creating visually compelling and insightful reports and dashboards. They learn how to transform raw data into meaningful visualizations such as charts, graphs, maps, and tables, enhancing data comprehension and decision-making. Through hands-on training, attendees gain proficiency in performing data analysis tasks within Power BI. What the workshop will cover: To manipulate data, apply filters, create calculated columns and measures. To customise reports to meet specific business requirements, incorporate interactive elements for data exploration, and create drill-down capabilities for deeper analysis. Outcomes: After attending this workshop, participants will be able to 1. To explore Power BI Interface: navigation and components. hands-on exercise, building a simple data model and visualization. 2. To outline the Introduction to data visualization principles building basic 3. visualizations: Bar Charts, Line Charts, Pie Charts, and tables etc. 4. Translate research ideas into well-organized sections dashboards.