2015 Data Science II
Yoshihiro Takemoto, Professor, Tokyo Medical and Dental University
Kei Yura, Professor, Ochanomizu University
Course Purpose and Outline
Learning how to utilize data and analytical methods.
In order to cultivate the basic capabilities of a data scientist, students will gain a generalunderstanding of analytical methods, from statistical fundamentals to language analysis,and learn how to put those methods into practice.
This course will provide an outline of analytical techniques from the examination ofclinical statistics to the recent field of big data handling. From data acquisition andanalysis, to dealing with issues, students will become acquainted with the entire data lifecycle.
|1||Sat., 28 Nov||Clinical statistics||Masahiro Takeuchi|
|2||Fri., 4 Dec||Clinical study design and data||Akihiro Kobayashii|
|3||Fri., 11 Dec||Data: Data security||Norio Saito|
|4||Fri., 18 Dec||Public data: Disease prevention using public data||Honami Yoshida|
|５||Fri., 8 Jan||Science data: Research evaluation and international strategy||Nahoko Furubayashi|
|６||Fri., 15 Jan||Pharmaceutical data: the present global pharmaceutical market and future||Ririko Takayama|
|７||Fri., 22 Jan||Health insurance data, analysis of the present and future directions of disease prevention||Tohru Nakagawa|
|８||Fri., 29 Jan||JanSocial network services (SNS) and medical prevention||Kohichi Takeda|
Note(s) to students
Due to the style of this course, enrollment will be limited, with priority given to Disease Prevention Science Course (DPSC) students. In this course, several visits to research labswill be carried out. Research lab visits refer to a teaching style wherein students visit theuniversity or research lab of the instructor for the lesson and take a tour of the researchfacility and research labs in addition to the lesson.