SemesterSpring Semester, 2025
DepartmentMA Program of Management Information Systems, First Year MA Program of Management Information Systems, Second Year
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