- 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. |