Advanced Data Analysis

Course Description

• Learn practical data analysis on Python environments.
• Learn about visualization of data and representation of analysis results on Python environments.

Topic	Content	Expected Outside Work
1	環境構築 Build environment	Python環境の構築，Pythonの基本操作など Build Python environments, basic operation of Python	授業動画の確認 Check Video Class.
2	教師なし学習の基礎１ Fundamentals of Unsupervised Learning 1	クラスター分析，非階層型クラスタリング，階層型クラスタリング Cluster Analysis, Non-hierarchical clustering, Hierarchical clustering	授業動画の確認 Check Video Class.
3	教師なし学習の基礎２ Fundamentals of Unsupervised Learning 2	様々なクラスター分析，次元削減 Various Cluster Analysis, Dimension Reduction	授業動画の確認 Check Video Class.
4	教師あり学習の基礎１ Fundamentals of Supervised Learning 1	回帰分析，単回帰，重回帰 Regression Analysis, Simple and Multiple regression	授業動画の確認 Check Video Class.
5	教師あり学習の基礎２ Fundamentals of Supervised Learning 2	回帰分析，決定木系回帰 Regression Analysis, Decision tree regression	授業動画の確認 Check Video Class.
6	教師あり学習の基礎３ Fundamentals of Supervised Learning 3	分類 Classification	授業動画の確認 Check Video Class.
7	最終試験 Final Exam	最終試験の実施 Final Examination.	授業動画の確認 Check Video Class.