■ Outline of this course
Whether you are going to do some kind of business or go into the company, data-driven analytical problem-solving skills and hands-on understanding of data utilization are essential in the days ahead.
This course aims to develop minimum data literacy to survive in this data-driven age for the students with at least 10th-11th grade mathematics skill and basic familiarity of Excel, on the assumption that they do not have much experience in data analysis and utilization.
Classes will be conducted interactively as much as possible. We will invest a considerable amount of time for each homework review and answers to the questions received in a weekly questionnaire.
■ Skill that aims to be acquired
- Perspectives on data-driven society
- Appropriate understanding of various related buzzwords
- Basic skills to extract implications of data
- Basic skills to avoid being deceived by data
- Basic skills of data handling and quantitative analysis
(Note) It is not a course to nurture experts in information science and big data processing
- Natural language processing
- Image processing
- Machine learning
- Data infrastructure construction
- Real time processing, etc.
■Expected outcome
Learns the power and fun of data
Acquire the practical basis of science and data-driven thinking
Becoming able to get the some implications when encounters with a data related news
■Tools to be used
Excel (required)
Powerpoint (optional but preferred to use)
MySQL (optional)
R (optional)
Python (optional)
■(Reference) Comments from past students (excerpt)
I wish I had encountered such a wonderful class sooner.
"The data analysis was so deep that I had a hard time following it. "Data analysis was deep and I had to work hard to keep up with it, but it was definitely the most passionate and interesting class of any SFC course.
"I suffered a lot, but the more I suffered, the more I could see and the more I enjoyed it.
It was the lecture that made me feel I had grown the most since I entered university.
"It fundamentally changed the way I think about data."
"This was the class I was looking forward to the most this semester, and I was very satisfied with the content, which far exceeded my expectations.
"It was one of the most interesting classes this semester. "It was one of the most interesting classes this semester. Both the lectures and the exercises were interesting and useful, and I enjoyed them.
"It was a really tiring class, but I can say with pride that it was the half year that I grew the most.
"This is definitely a course that all students should take as a required data science course in the spring of their freshman year, and I wish this course had been offered earlier.
I wish I had taken this course sooner..." "Thank you for all 14 sessions plus the supplementary lectures. The assignments were difficult, but it was great to hear interesting and White things each time. My attitude toward data has definitely changed.
"Before, I thought it was important to master how to use the tools, but through the class, I realized that it is more important to find out the essential things such as how to understand the problem. It was a very meaningful time and I enjoyed the lecture.
This was the most stimulating course in my three years of university life, and I was able to take it while thinking concretely about making analysis my career. Thank you very much.
"I am sad that this is the end of the class. I am sad that this is the end of the class, I want to take the advanced class. I'm sad that this is the end of the class.
"Although I sometimes slacked off, I feel that my self has become more patient and positive about the assignments throughout the six months. I have never been assigned such a difficult task before, but thanks to the enthusiastic classes given by Mr. Ataka and the other students, I was able to finish the fall semester without giving up, even though I would have given up in the past. Thank you very much.
I can't thank you enough for this class, which has given me a really valuable experience that I can't get at other universities. There are almost no other classes at SFC that have the same level of depth of content as this class, and I can say that this class was by far the most rewarding class I have ever taken. Thank you very much for the whole semester.
"Although I had some experience in data analysis, I was reminded of many things in each lecture.
"Thank you for the very intensive lectures! What is data-driven? What is data-driven and why is it necessary? I enjoyed learning analysis and problem solving in a practical manner, as both input and output were carried out, from the lectures that focused on the big picture, such as "What is data-driven? I will keep this way of thinking in mind and do my best to get ahead in my 20s.
Thank you for the fun classes. I thought we were just going to do data analysis, but it was very fruitful to hear about the theory that I didn't know before. I would like to make use of it in the future." "I was able to learn a deeper layer of knowledge that does not end with the use of tools.