“The tasks felt like real work, from analysing supermarket data in a spreadsheet to anonymising customer data and proposing a database design. Each task built on the last, and the emails from the team lead gave clear goals. I learned practical things like using formulas, protecting privacy and thinking about how a business could use social media data.”

I really liked how realistic and practical all the tasks were. Instead of just learning theory, actually working through data anonymisation, turning unstructured X/Twitter posts into clean analytics, and designing a proper database schema gave me a solid hands-on experience of how real-world data science projects operate.

I liked the simulation because it gave me practical experience in solving a real-world business problem. I enjoyed learning how to organize data, design a database, identify relationships between tables, and think about how the information could be used for analysis. It also helped me understand the importance of structured data and how AI can support decision-making.