SemesterFall Semester, 2023
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
































































































































































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