Hands-on workshop on “Feature Craft: Turning Raw Data into Powerful Insights”

The workshop featured a two-hour interactive session in Google Colab, where 52 students engaged in coding exercises using Python libraries such as Pandas and NumPy. Tasks included importing datasets, handling missing values, reshaping and merging data, and validating outputs. Feedback highlighted the clarity and engagement of the instruction, with students reporting increased confidence in data preprocessing. The session concluded with a discussion on the importance of systematic data preparation in analytics, and many participants expressed interest in future workshops on feature engineering, pipeline automation, and data visualization.