Department: Computer Science and Engineering
In Association With: ICT Academy
Institution: AAA College of Engineering and Technology, Sivakasi
Date: 18 August 2025 to 22 August 2025
Venue: Sir Visveswaraya Seminar Hall, Dept. of CSE, Cambridge Block, AAACET
Objective of the Programme
The objective of this Faculty Development Programme (FDP) was to enhance the knowledge and technical skills of faculty members in data analytics and visualization using Microsoft Power BI. The programme aimed to provide hands-on experience in data transformation, modeling, and dashboard development, thereby aligning academic practices with industry requirements.
Resource Person
Mr. M.A. Mohamed Fakrudeen
Senior Technical Trainer
ICT Academy
Convener
Dr. J. Hemalatha
Professor & Head, Department of CSE
Coordinators
- Mr. S. Parameswaran, Assistant Professor, CSE
- Mrs. S. Rajeswari, Assistant Professor /CSE
Programme Overview
The Department of Computer Science and Engineering organized a Five-Day Faculty Development Programme on “Microsoft Power BI – Data Analyst Associate” from 18th to 22nd August 2025 in association with ICT Academy.
The programme was inaugurated with a formal session including welcome address, chief guest introduction, and presidential address. The sessions were handled by Mr. M.A. Mohamed Fakrudeen, who delivered comprehensive and interactive training throughout the programme.
The FDP covered the following key areas:
- Introduction to Power BI and fundamentals of data analytics
- Data collection, cleaning, and transformation using Power Query
- Data modeling and DAX expressions for analytical processing
- Visualization techniques and interactive dashboard creation
- Case studies and real-time project implementation
The sessions were designed to provide both conceptual understanding and practical exposure. Faculty members and research scholars actively participated and gained hands-on experience in building business intelligence solutions using Power BI.
Outcomes of the Programme
- Enhanced faculty competency in data analytics and visualization
- Improved ability to use Power BI for teaching and research
- Strengthened industry-oriented learning approaches
- Encouraged adoption of modern data-driven methodologies tivated students to pursue internships and industry-relevant skill development.
