Teachers | OGASHIWA, Kahori | |
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Elective, Credits | Elective 2 credit [Self-Development Support Course] | |
Syllabus Number | INF-102 |
In recent years, the rapid development of information technology has accumulated huge data in various areas. These data stored in various databases are adapted in data mining and utilized in an efficient manner. The aim of this lecture is to provide students with applied skills for the practical data analysis. In addition, the data analysis approach draws on theory and methodology. MS Excel is used in the present lecture.