| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3733005 | 統計數據分析 | Statistical Data Analytics | 3.0 | 3 |
| 中文概述 Chinese Description | 統計數據分析是一種利用數據對遇到問題進行適當推測的藝術(有時是最好)，本課程是一門以微積分為基礎的統計學分析的入門課程，旨在幫助學生學習描述性和推論性的統計程序，以及在不同領域中使用有用的數據分析。在回顧描述性統計和一些必要的概率分佈後，我們將討論區間估計、點估計、假說檢定方差分析、線性回歸分析、因子設計、聚類分析的基本概念、分類和支持向量機，並伴隨著實踐和理論練習。因此這些技能將為學生提供一個基礎，培養學生獨自進行分析和有效評估他人統計分析結果的能力。 | |||
| 英文概述 English Description | ‘Statistical data analytics’ is the art of using data to make appropriate (sometimes, best!) conjectures about problems encountered. This course is a calculus-based introduction to statistics and data analytics, and so designed to help students learn the introductory descriptive and inferential statistical procedures, and useful data analytics that are used in diverse areas. After a review of descriptive statistics and some necessary probability distributions, we will discuss interval and point estimation, hypothesis tests, ANOVA, linear regression analysis, factorial designs, and basic concept of cluster analysis, classification, and support vector machines accompanying practical and theoretical exercises. Consequently, these skills will provide the student with a basis to conduct their own such analyzes and to evaluate critically others’ uses of statistical analysis results. | |||
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