・I participated in the competition with no programming experience, even with Python. In the first round of the competition, I could not use Python and could only do a multiple regression in Excel lol. By learning on my own as well as through lectures, I gradually improved my ranking in the competition and was able to be awarded as an excellent student in the final project. I was able to participate in the visits for outstanding students (to Germany, France, and the UK), and even later to work as a staff member at Matsuo Lab, which had a positive impact on me not only in my studies, but also in many years of my life. I felt that the lectures were comprehensively evaluated from perspectives other than programming skills alone. As with any study, even a single lecture can have great meaning depending on one's own attitude. I think this is especially true for GCI. I encourage everyone to dive into this new world.
・I was introduced to this course by a classmate who was an outstanding student of GCI in the past. At the time, I knew nothing about Python, Numpy, etc., and managed to learn from the class and textbooks, but I gradually got the hang of it, and received the certificate after completing the final project. It was well worth the effort. After graduation, I started working on data analysis and AI projects at a company, and I found that the skills I acquired through the GCI were more effective than I had expected, and I sometimes had to look back at the GCI materials to find parts I had forgotten. I strongly feel that it is a good idea for students to acquire data science skills through hands-on experience, as they are indispensable literacy skills regardless of their affiliation, no matter what career path they pursue today.
・The lectures on data science technologies and research fields using Python will be very useful for me in planning my own future. The lectures by external lecturers included examples of social application and expertise, it was good to see how the technology is used in the real world.
・I was able to learn machine learning, which is difficult to learn on my own, and data analysis, which has a lot of specialized content, with beginner friendly materials and hands-on activities. I am very satisfied with the content of the course, as the skills are easy to acquire.
I learned that data science is profound and multifaceted. I was also able to learn about the difficulties in social implementation and the social impact of achieving it, and had a very meaningful time. I felt that utilizing data is not a job for data scientists alone, and that by learning it as a part of the general education, I will be able to go beyond my own limits.