本課程是以Python程式語言為主，進行資料擷取與分析，引導學生從資料前處理一直到資料可視化的部分。利用Python所提供的套件，包含NumPy模組, Pandas模組等衍生資料結構，進行資料蒐集、資料前處理，並利用SciPy模組進行資料的統計分析，一步步地將資料轉化成為資訊，最後利用Matplotlib模組、tkinter模組與影像處理模組等進行資料可視化。由資訊中提取出知識，當作進行決策時的重要參考依據，使電機系學生具備資料分析的基本概念與實作技術。

This course is based on the Python programming language for data acquisition and analysis, and guides students from data pre-processing to data visualization. Use the suite provided by Python, including the NumPy module, Pandas module and other derived data structures, to collect data and pre-process the data. Use the SciPy module to perform statistical analysis of the data and convert the data into information step by step. Finally, use the Matplotlib module, tkinter module and image processing module to visualize the data. Extract knowledge from information and use it as an important reference when making decisions, so that students in the Department of Electrical Engineering can acquire the basic concepts and practical techniques of data analysis.

1.自編教材
2.Python 資料科學與人工智慧應用實務, 旗標出版, 陳允傑著
3.Python 最強入門邁向數據科學之路, 深智數位出版, 洪錦魁著

1. Self-compiled teaching materials
2.Python Data Science and Artificial Intelligence Application Practice, Banner Publishing, written by Chen Yunjie
3. The best introduction to Python on the road to data science, Shenzhi Digital Publishing, written by Hong Jinkui