R Studio

In the sixth week of our study program, we were introduced to the world of statistics and R Studio by Ann. The five-hour class promised to be an engaging start, but soon there were some challenges. It began with installing R Studio on our laptops, which proved to be a difficult task for many of us. After significant efforts and about half an hour later, the majority of the class finally had R Studio operational, though unfortunately, some did not succeed.

With R Studio on our screens, Ann began her explanation, providing a document with pre-written codes that we could simply copy and paste. The convenience of this approach certainly saved time, but I couldn't help but think that the lesson could have been more dynamic. Preparing the codes in advance deprived us of the opportunity to be actively involved in the writing process, which could have possibly enhanced our understanding.

Another stumbling block was the length of the class, putting our concentration to a serious test. After about three hours, I, along with my fellow students, clearly noticed that fatigue and distraction were taking over. The ideal learning moment had passed, and it proved challenging to maintain focus. In this tired state, unfortunately, little of the lesson content stuck.

Personally, I would have preferred a more hands-on approach, where we could collaboratively write and understand the codes. While Ann offered us the option to observe the results by pressing shift-enter, I felt that my understanding remained superficial. The topic of statistics and R Studio is not necessarily my favorite, but I do recognize its importance in the aviation industry. Despite the challenges, I am determined to develop and understand these skills because I am convinced of their relevance to my future career. This will likely be in the form of Python rather than R Studio.