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Lecturer: Yuan-Fong Su(蘇元風)
Email: yuanfongsu@mail.ntou.edu.tw
Phone: (02) 2462-2192 #6147
Webpage: https://hreweb.ntou.edu.tw/p/404-1059-55391.php?Lang=zh-tw
Course ID: B52025ED
Credits: 2
Objective: This course aims to introducing the techniques of data mining and the students will learn data collecting, cleaning, processing, and statistically analyzing and extract useful information.
Course Prerequisites: None
Outline:
1. Introduction to Python
2. Introduction to data collection, cleaning, processing
3. Statistical methods for data analysis
4. Application case study
Teaching Method: Direction instruction and part of inquiry-based learning
Reference: An introduction to Statistical Learning
Course Schedule (subject to change):
1. Introduction to Python
2. Python Environment
3. Basic usage of Python IDE (1)
4. Basic usage of Python IDE (2)
5. Basic usage of Python IDE (3)
6. Descriptive Statistics and Visualization (1)
7. Descriptive Statistics and Visualization (2)
8. Probability
9. Probability Distributions and Visualization (1)
10. Mid-term Exam
11. Probability Distributions and Visualization (2)
12. Sampling and Sampling Distributions
13. Estimation (1)
14. Estimation (2)
15. Regression analysis and visualization (1)
16. Regression analysis and visualization (2)
17. Regression analysis and visualization (3)
18. Final-term Exam
Evaluation:
Assignments (60%)
Final exam(40%)
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