Summer Training-Data Science
The Department of Information Technology successfully conducted an 100‑hour Data Science Industrial Training program for undergraduate students. The training offered practical exposure to key tools and techniques such as Python, NumPy, Pandas, Matplotlib, Seaborn enabling participants to gain hands‑on experience in data analysis, visualization, and machine learning.
Students worked with real‑world datasets and developed mini‑projects that reflected industrial applications of data science. The program enriched their technical knowledge and analytical skills, bridging the gap between academic learning and industry practices, and prepared them for future opportunities in data science, machine learning, AI, and data analytics.