2015 Data Science I
Kei Yura, Professor, Ochanomizu University
Yoshihiro Takemoto, Professor, Tokyo Medical and Dental University
Course Purpose and Outline
Learning fundamental statistics and programing skills.
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., 16 May||Principles of Biostatistics I||Kei Yura|
|2||Sat., 16 May||Practical data analysis using R||Kei Yura|
|3||Sat., 23 May||Principles of Biostatistics II||Kei Yura|
|4||Sat., 23 May||Practical data analysis using R||Kei Yura|
|５||Sat., 30 May||Principles of Biostatistics III||Kei Yura|
|６||Sat., 30 May||Practical data analysis using R||Kei Yura|
|７||Sat., 6 June||Principles of Biostatistics VI||Kei Yura|
|８||Sat., 6 June||Practical data analysis using R||Kei Yura|
Note(s) to students
Concentrated lessons will be held on Saturdays. Since it is a participation-centered course, attendance is mandatory. Students are recommended to bring their own computers.
Attendance is mandatory for practical course learning. Lectures will be held at Ochanomizu University. Due to the style of this course, enrollment will be limited, with priority given to Disease Prevention Science Course (DPSC) students.