The tasks mirrored real airline business challenges rather than generic academic problems. Working on end-to-end predictive modeling using customer booking data—from feature engineering and handling class imbalances to summarizing insights in an executive-ready slide—provided practical experience in how data science directly impacts commercial decisions at British Airways.

I really enjoyed this program because it provides hands-on experience in building a complete predictive model. The dataset is well-designed, and the tasks allow participants to test their skills across data exploration, preprocessing, model training, and evaluation. It’s a great way to understand whether one has the ability to work as a data scientist in real-world scenarios.

Really! Great learning with two tasks . I liked that the simulation was practical and closely reflected the work of a data scientist. It gave me hands-on experience in data preprocessing, building a Random Forest model, interpreting feature importance, and presenting insights in a business-friendly format.