I really liked how the program provided hands-on tasks that reflected real-world data science challenges at Lloyds Banking Group. It helped me understand how data-driven insights support business decisions and customer retention strategies. The structure and clarity made it easy to follow and learn at my own pace.

I appreciated the realistic business context and the clear link between data science and customer retention strategy. The simulation helped me practise key steps of a data science project, from data gathering and exploratory analysis to model selection, evaluation metrics, and business recommendations.

What I liked about the simulation was that it showed the full process of building a churn prediction model from start to finish. It clearly connected data preparation, model building, and evaluation to real business outcomes. It also helped demonstrate how different choices, like handling imbalanced data and selecting evaluation metrics, affect the final results and decisions.