本課程教授數據分析資料工程與資料科學領域的相關知識，並告訴你如何將其轉換為程式碼，除了可以吸收關於數學的知識之外，也能立即運用在實務上。This course teaches relevant knowledge in the fields of data analysis data engineering and data science, and tells you how to convert it into a program. In addition to absorbing knowledge about mathematics, it can also be used immediately in practice.
Python資料科學自學聖經：不只是建模！用實戰帶你預測趨勢、找出問題與發現價值(附關鍵影音教學、範例檔)
作者： 鄧文淵 總監製/文淵閣工作室 編著
書號： ACL065700
ISBN： 9786263241657
圖解機器學習與資料科學的數學基礎｜使用Python
作者： 松田雄馬, 露木宏志, 千葉彌平
譯者： 許郁文
資料科學輕鬆學
作者： Anil Maheshwari
譯者： 張雅芳
Python Data Science Self-Study: Not just modeling! Use real-life wars to guide you to predict trends, find problems and discover value (with key audio and video teaching, sample files)
Author: Dun Wen-Yuan General Manager/Wen-Yuan Studio Editor
Book number: ACL065700
ISBN: 9786263241657
Mathematical Basics of Diagram Solution Machine Learning and Data Science｜Use Python
Author: Yuma Matsuda, Hiroshi Lumu, Chia Ye Tsuhira
Translator: Xu Yuwen
Easy learning in data science
Author: Anil Maheshwari
Translator: Zhang Yafang
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Mid-Term ExaminationMid-Term Examination mid-term examination |
30 | |
| Final ExaminationFinal Examination Final examination |
30 | |
| Assignments and attendAssignments and attend Assignments and attend |
40 |
