I liked the practical approach of the simulation. Working with real financial data from Microsoft, Tesla, and Apple helped me understand financial analysis using Python and pandas. Building a simple rule-based chatbot was also a useful experience because I could apply what I learned in the first task.
Reviews
liked that the simulation provided hands-on experience with real-world business challenges. It helped me understand how to analyze financial data, apply Python and logical rules, and develop a basic financial chatbot. I also appreciated the step-by-step tasks, which allowed me to strengthen my problem-solving skills and explore the practical applications of Generative AI.
I liked that the simulation provided practical experience in data analysis, financial data preparation, and building a rule-based financial chatbot. It helped me understand how data science and generative AI concepts can be applied to real-world consulting problems. The step-by-step tasks also gave me hands-on experience with financial data, Python, data analysis, and chatbot development.

