SemesterSpring Semester, 2025
DepartmentJunior Class A, Department of Management Information Systems Junior Class B, Department of Management Information Systems Senior Class A, Department of Management Information Systems Senior Class B, Department of Management Information Systems
Course NameData Science for Business
InstructorHSIANG CHIEN-YI
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule































































































































































Week

Topic

Content and Reading Assignment

Teaching Activities and Homework

Student workload expectation

In-class Hours

Outside-of-class Hours

2/20

Introduction

Overview of the Course


  

 

 

2/27

Pandas

 Pandas: Data Structure


  

3

3

3/6

Pandas

Pandas: Data Preprocessing

Quiz 1

3

3

3/13

Pandas

Pandas: Data Transformation

Quiz 2

3

3

3/20

     Pandas

Pandas: Time Series Handling

Quiz 3

3

3

3/27

Pandas

Pandas: Data Analytics

Quiz 4

3

3

4/3

 

Holiday

 

 

 

4/10

NumPy

NumPy Arrays

Quiz 5

3

3

4/17

NumPy

Array Operations

Quiz 6

3

3

4/24

Exam

Midterm Exam

 

 

 

5/1

Data Visualization

Pandas and Other Visualization API


      

5/8

Machine Learning

Machine Learning: Regression

Quiz 7

3

3

5/15

Machine Learning

Machine Learning: Classification

Quiz 8

3

3

5/22

Machine Learning

Machine Learning: Evaluation Metrics

Quiz 9

3

3

5/29

Machine Learning

Machine Learning: Model Selection

Quiz 10

3

3

6/5

Exam

Final Exam


  

 

 

6/12

Group Project

Final Project


  

 

 

6/19

Group Project

Final Project


      

Teaching Methods
Teaching Assistant

張芯慈



林慧娟



徐慧妤


Requirement/Grading

10 Quizzes 40% 



Midterm Exam 15%



Final Exam 15%



Final Project 30%



Textbook & Reference

Required



The documentation for the latest version of Pandas, Numpy, and Scikit-learn

https://pandas.pydata.org/docs/



https://numpy.org/doc/



https://scikit-learn.org/stable/user_guide.html



Recommended



1. Provost, F., & Fawcett, T. (2013). Data Science for Business: What you need to know about data mining and data-analytic thinking. O'Reilly Media, Inc.

2. Müller, A., & Guido, S. (2016). Introduction to Machine Learning with Python: A Guide for Data Scientists. O'Reilly Media, Inc. ISBN: 9781449369415

3. Géron, A., (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition. O'Reilly Media, Inc. ISBN: 9781492032649



Urls about Course
Attachment