Data Decode 2026: IDC Chapter Launch & Hands-on Analytics Workshop

About the Program

Objectives of the Program

• To officially launch the IDC Student Chapter through the MOU signing ceremony and create a long-term platform for data, analytics, and AI-focused student initiatives.
• To introduce participants to real-world telecom analytics challenges, demonstrating how organizations use customer data to drive retention and business decisions.
• To provide hands-on exposure to analytical tools and techniques including Excel, SQL, Power BI, and Python for solving practical business problems.
• To bridge the gap between academic learning and industry expectations by encouraging analytical thinking, data storytelling, and business-oriented problem solving.
• To foster a collaborative community of students interested in data science, AI, analytics, and emerging technologies through learning, networking, and future IDC activities.

Expected Outcomes of the Program

• Participants will gain practical understanding of customer churn analysis and how data is used to solve real business problems in the telecom industry.
• Students will develop foundational exposure to industry-relevant analytical approaches using tools such as Excel, SQL, Power BI, or Python.
• Attendees will improve their ability to interpret business data, identify patterns, and generate data-backed insights and recommendations.
• The event will establish awareness and visibility for the IDC Student Chapter, encouraging greater student participation in future data and AI initiatives.
• A strong student network of aspiring data and AI enthusiasts will be initiated, promoting collaboration, peer learning, and continuous skill development within the campus community.