|
課程名稱 |
視覺化與現代資料科學
Data Visualization with Modern Data Science |
|
開課學期 |
109-2 |
|
授課對象 |
管理學院 工商管理學系 |
|
授課教師 |
郭耀仁 |
|
課號 |
BA4009 |
|
課程識別碼 |
701 41110 |
|
班次 |
|
|
學分 |
3.0 |
|
全/半年 |
半年 |
|
必/選修 |
選修 |
|
上課時間 |
星期五7,8,9(14:20~17:20) |
|
上課地點 |
管一405 |
|
備註 |
本課程中文授課,使用英文教科書。
限學士班三年級以上
總人數上限：30人 |
|
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1092BA4009_ |
|
課程簡介影片 |
|
|
核心能力關聯 |
核心能力與課程規劃關聯圖 |
|
課程大綱
|
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
|
課程概述 |
We will start with visualization via Tableau, a widely-used business intelligence software with graphic user interface. Next, we will introduce SQL, short for Structured Query Language, the standard language used to interact with relational databases. Finally, we will introduce Python, a general-purposed programming language that gains extraordinary attentions in data science. |
|
課程目標 |
- To create common visualizations with Tableau.
- To write intermediate queries in SQL.
- To define functions and classes in Python.
- To wrangle data with Python pandas. |
|
課程要求 |
- Homework
- Midterm
- Final |
|
預期每週課後學習時數 |
|
|
Office Hours |
另約時間 |
|
指定閱讀 |
None. |
|
參考書目 |
- Anthony DeBarros, Practical SQL, 2nd Edition: A Beginner's Guide to Storytelling with Data
- Bill Lubanovic, Introducing Python: Modern Computing in Simple Packages 2nd Edition
- Jake VanderPlas, Python Data Science Handbook: Essential Tools for Working with Data 1st Edition |
|
評量方式
(僅供參考) |
|
No. |
項目 |
百分比 |
說明 |
|
1. |
Homework |
50% |
|
2. |
Midterm |
20% |
|
3. |
Final |
30% |
|
|
|
週次 |
日期 |
單元主題 |
|
第1週 |
2/26 |
Introduction |
|
第2週 |
3/05 |
Getting Started with Tableau |
|
第3週 |
3/12 |
Creating Dashboard with Tableau |
|
第4週 |
3/19 |
Getting Started with SQL |
|
第5週 |
3/26 |
Analyzing Data with SQL |
|
第6週 |
4/02 |
Spring break |
|
第7週 |
4/09 |
Advanced SQL Skills |
|
第8週 |
4/16 |
Getting Started with Python |
|
第9週 |
4/23 |
Midterm |
|
第10週 |
4/30 |
Structuring Data in Python |
|
第11週 |
5/07 |
Control Flow Statements in Python |
|
第12週 |
5/14 |
Structuring Codes in Python |
|
第13週 |
5/21 |
Advanced Topics in Python |
|
第14週 |
5/28 |
Getting Started with Pandas |
|
第15週 |
6/04 |
Data Wrangling with Pandas |
|
第16週 |
6/11 |
Reading period |
|
第17週 |
6/18 |
Final |
|