Business Analytics

 End of Course This class was very enjoyable. Having the option to write blogs instead of papers is also quite nice. It makes it a lot more fun and interesting. When I signed up for the class I wasn’t too sure how the actual work and lectures would be. I was feeling like it was going to be difficult and the material was going to be complex. I had that worry that I wasn’t going to understand. But it’s actually very beginner friendly and professor Kelsey did a good job being clear. The course covered his own books on AI which was pretty cool and the books are right to the point with the introductions to the concepts. The main two books covered were “Learning Python with ChatGpt and Google Colab” and “Data Toolkit: Python + Hands - On Math.” From these books we got a better understanding of what Python and ChatGPT are and what they do. We also got to see how data and math is linked to the softwares; we can solve problems and structure them. But the most interesting topic that was hit ...

 Skill Acquired Throughout the past 8 weeks of class I was able to obtain basic AI knowledge. I have already been introduced to AI and software's like ChatGPT and Python in my courses. But I felt that we were thrown into it. I had a statistic class that would also focus on these on the side. It wasn't something we were ever tested on or was on our homework, but we did look at a lot of stat/math examples on Python. I was honestly confused and intimidated for a good part of my math course.  I felt that if we had taken a class like BALT 4396 before doing advanced math on python, it would've been a lot easier to work with and understand. I had a lot of the basic knowledge down myself already before learning about it in this class, but it felt like a refresher. Some f the skills that I have acquired are opening files/ notebooks, giving ChatGPT a prompt, running a notebook/cell, Numpy, Pandas, etc. I also understand how to choose and work with different data structures and functi...