A 15-day training session on “Program Finishing School for Employability” was successfully organized by ICT Academy and Infosys Foundation, focusing on Power BI. The program aimed to enhance participants’ technical and analytical skills, making them job-ready in the field of business intelligence and data visualization. The inauguration ceremony of the “Finishing School for Employability” program, organized by ICT Academy and Infosys Foundation, was held with great enthusiasm. The program aims to enhance students’ employability by equipping them with industry-relevant skills, bridging the gap between academic learning and professional requirements.
Dignitaries of the Inauguration Ceremony:
Dr. Alok Kumar Jain – Director, GGI
Prof. Dr. Rishi Asthana – Director, GITM
Prof. Dr. Devendra Agarwal – Dean Academics
Dr. Brijesh Pandey – Associate Dean Academics
Event Details:
Date: 10th February 2025 to 27th February 2025
Venue: Lab 109SPOC (Single Point of Contact): Mr. Shivam Shukla
Mentors: Ms. Prachi Yadav and Ms. Neha Singh
Trainer: Ms. Reshu Goyal
The training covered various aspects of Power BI, including data modeling, report generation, dashboard creation, and real-time data analysis. With hands-on practical sessions and interactive learning, participants gained valuable insights into industry-relevant applications of Power BI.
STAGE 1: MICROSOFT AZURE DATA FUNDAMENTALS
The program proved to be a great learning experience, equipping students with essential skills to improve their employability and career prospects in the field of data analytics and business intelligence. Microsoft Azure Data Fundamentals is an introductory certification that provides a foundational understanding of core data concepts and how they are implemented in Microsoft Azure. It is ideal for individuals looking to start a career in data-related roles or those interested in understanding how data is managed in the cloud. STAGE 2: MODEL DATA IN POWER BI
Data modeling in Power BI is a crucial step that helps transform raw data into meaningful insights by creating relationships, defining measures, and optimizing performance. A well-structured data model enhances report efficiency and enables users to analyze data effectively.
