SemesterFall Semester, 2023
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
































































































































































週次



Week

課程主題



Topic

課程內容與指定閱讀



Content and Reading Assignment

教學活動與作業



Teaching Activities and Homework

學習投入時間



Student workload expectation


課堂講授



In-class Hours

課程前後



Outside-of-class Hours


1

Introduction

Introduction to Data Science and Anaconda Setup

 

3

3


2

Data Analytics

Pandas: Data Pre-processing

 

3

3


3

Data Analytics

Pandas: Data Pre-processing

Quiz1

3

3


4

Data Analytics

Pandas: Data Analytics

Quiz2

3

3


5

 

National Holiday

 

 

 


6

Data Analytics

Pandas: Data Analytics

Quiz3

3

3


7

Data Analytics

Numpy: ndarray

Quiz4

3

3


8

Data Analytics

Numpy: ndarray

Quiz5

3

3


9

Exam

Midterm Exam

 

 

 


10

Data Visualization

Pandas, Matplotlib, & Other API: Data Visualization

 

3

3


11

Machine Learning

Machine Learning: Regression

Quiz6

3

3


12

Machine Learning

Machine Learning: Classification

Quiz7

3

3


13

Machine Learning

Machine Learning: Evaluation Metrics

Quiz8

3

3


14

Machine Learning

Machine Learning: Model Selection

Quiz9

3

3


15

Exam Review

Final Exam Review

Quiz10

3

3


16

Exam

Final Exam

 

 

 


15

Group Project

Final Project

 

 

 


16

Group Project

Final Project

 

 

 

Teaching Methods
Teaching Assistant
Requirement/Grading

10 Quizzes 40% 



Midterm Exam 20%



Final Exam 20%



Final Project 20%



Textbook & Reference

Required



The documentation for the latest version of Scikit-learn

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