Goldey-Beacom College

The class was a valuable and practical learning experience because it connected Python concepts directly to business analytics and decision-making. The quality of the class was strong because the assignments were not just about writing code, but about using data to identify patterns, build insights, and communicate recommendations in a business context. I appreciated that the course moved from technical bootcamp work into strategic analysis, which helped me understand how Python can support real business decisions. The homework load was reasonable but definitely required consistent effort each week. Some assignments took time because they included both coding and written analysis, but that also made the work more useful. The workload encouraged me to practice regularly instead of waiting until the end, and it helped me become more comfortable reading code, fixing errors, and interpreting results. Classroom discipline and structure were clear. The expectations for submissions, attendance, and participation were organized, and the deadlines helped keep the class on track. Attendance requirements were fair because the course builds week by week, and missing sessions or falling behind would make it harder to understand later assignments. The professor’s teaching style was practical and supportive. The course materials and instructions guided students through the work step by step, while still giving enough room to think independently and apply the analysis to a business problem. I also liked that the class encouraged the responsible use of AI as a support tool, not as a replacement for understanding the work. Overall, I would evaluate this class positively. It strengthened my technical skills in Python, but more importantly, it helped me see how analytics can be used to create business recommendations, explain risks, and support leadership decisions

The class was great learned alot