シラバス

科目名統計解析 [DS2](GIGA/GG/GI)

授業概要

学部・研究科
総合政策・環境情報学部
登録番号
31107
科目ソート
B3210
科目名
統計解析
分野
基盤科目-データサイエンス科目-データサイエンス2
単位
2単位
開講年度・学期
2022 春学期
K-Number
FPE-CO-03022-312-12
開講年度・学期
2022 春学期
曜日・時限
火 4限
授業教員名
トレース, ジョナサン W
実施形態
対面
授業で使う言語
英語
開講場所
SFC
授業形態
※「授業形態」と「能動的学修形式」の対応についてはこちらをご覧ください。
演習, グループワーク
GIGAサティフィケート対象
対象

詳細

講義概要

This course will examine quantitative research methods and statistical analysis of data with a particular focus on analyzing, understanding, and interpreting statistical results in research. The course will utilize the basic foundations of quantitative methods (e.g., correlation, regression, means comparisons, and factor analysis) and examine how these are used in designing and reporting research.

This course is for people who have some prior experience with statistics, but you do not need a high level of ability (or confidence) in math to succeed in this course. We will look at what is required to analyze a variety of statistical tests, and while this means that students will need to run sample data and report results, the focus will be on what the results mean rather than the specific calculations that lead us to those results. To that end, this course looks at the concepts, interpretations, and applications of statistics rather than the math itself. This course will be discussion-based and NOT lecture based, so students should also come prepared and ready to participate each class.