Syllabus

SubjectINTRODUCTION TO STATISTICS [DS1]

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
29608
Subject Sort
B3101
Title
INTRODUCTION TO STATISTICS
Field
Fundamental Subjects - Subjects of Data Science - Data Science 1
Unit
2 Unit
Year/Semester
2021 Fall
K-Number
Year/Semester
2021 Fall
Day of Week・Period
Thu 3rd
Lecturer Name
Ryoga Kobayashi
Class Format
Online (Live)
Language
Japanese
Location
Other
Class Style
*Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture, Seminar
GIGA Certificate
Not applied

Detail

Course Summary

In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.

Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.

Lecturers might change contents of syllabus.