數據分析與決策進行

臺北科技大學 114-2 學期課程，課號 357168。

課程大綱

This course is an introduction to statistical computing and will be taught in Python. Python is widely used not only in the engineering but also in natural science, medicine, biology, physics, and business. This course will introduce you to a vibrant and growing community of open source data analysts that is pushing the state of the art in data analysis and presentation. (Another benefit to you as students is that open source software is free!) This course’s main objective is to: learn how to take raw data, explore it, and present the results in a useful way. Thus, in this course, you will learn all of the basic skills needed to do each of these steps with the statistical language Python.

課程進度

Week 1-3 Operations in Python, Vector and matrix, Tabulation and graphics Week 4-6 Introduction to data analysis for decision-making: Random variables, mean, median, standard deviation, correlation, covariance Week 7-8 Hypothesis tests Week 9: Midterm exam (or small presentation) Week 10-12 ANOVA Week 13-15 Simple linear regression Week 16-17 Multiple linear regression Week 18 Final exam (or small presentation)

評量方式

1. Attendance: 10% 2. Assignment: 30 % 3. Exam or presentation: 60%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 (1) Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1) (2) Introduction to Python for Econometrics, Statistics and Data Analysis (4th Ed.) by Kevin Sheppard