It focused on "Fundamentals of Business Analytics and Data-Driven Decision Making". The FDP was organized by Association of Indian Universities, Gautam Buddha University-Academic & Administrative Development Centre (AIU-GBU AADC). The FDP provided both theoretical knowledge and practical hands-on experience across key tools and techniques essential for modern business analytics.

On Day 1, the sessions emphasized the fundamentals of Business Analytics, explaining the distinction between Business Intelligence, Analytics, and Data Science, and highlighting various types of analytics (descriptive, diagnostic, predictive, and prescriptive). A hands-on session on Excel focused on essential techniques such as data cleaning, pivot tables, and advanced functions like LOOKUP and conditional formatting.

Day 2 delved into Business Analysis frameworks, documentation processes such as BRD and FRD, and best practices in Data Visualization and storytelling. This day also included practical exposure to Power BI, enabling participants to design interactive dashboards and work with DAX functions.

On Day 3, the focus shifted to Data Analytics using Python. Participants were introduced to key libraries such as Pandas, NumPy, and Matplotlib, followed by a session on the role of a business analyst in project management, covering methodologies like Agile and Waterfall. Practical work involved performing exploratory data analysis (EDA) and basic forecasting models using Python.

Day 4 explored advanced dashboarding and storytelling techniques, offering comparative insights into Power BI, Tableau, and Looker Studio. Business case studies such as customer churn analysis and sales forecasting were discussed. Participants engaged in hands-on practice building interactive dashboards using Tableau and Looker Studio.

Finally, Day 5 was a full-day deep dive into Tableau.

The FDP concluded with the design and publication of comprehensive business dashboards addressing various domains like sales, marketing, and HR.

Overall, the FDP significantly enhancedexpertise in business analytics tools and methodologies, equipping the learners with the necessary skills to integrate data-driven decision-making into academic, research, and consultancy projects.