NCHU Course Outline
Course Name (中) 資料分析與視覺化(6864)
(Eng.) Data Analysis and Visualization
Offering Dept Graduate Institute of Food Safety
Course Type Elective Credits 3 Teacher CHIN LI LU
Department Graduate Institute of Food Safety/Graduate Language 中/英文 Semester 2025-FALL
Course Description 本課程分為兩部分：(1) 介紹使用 Tableau 軟體視覺化呈現圖表的技能，並引導學生使用網路上的 open data 完成一份視覺化分析簡報；(2) 介紹使用統計軟體 SAS 進行一般研究所需的基本統計分析。教師將逐步引導學生在期中以真實資料完成一份簡單的專題報告，並在期末完成一套虛擬研究數據的分析表格。
本課程歡迎不同背景的同學選修！（若有疑義歡迎洽詢授課老師呂老師，chinlilu@nchu.edu.tw)

This course comprises two parts. The first part introduces the skills for using Tableau software to create visualized tables and graphs. Students would be led to retrieve open data on the web to make a brief presentation. The second part introduces the skills of using a professional statistical software, SAS, to perform basic statistical analyses. The instructor will guide the students step-by-step to complete a simple project in the midterm report and create a series of statistical tables using sample data at the end of the semester.

We welcome and encourage students from all backgrounds to participate! You may feel free to contact Prof. Lu (chinlilu@nchu.edu.tw)
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
1. 能正確呈現圖表的意義和重點
2. 能用適當的統計方法製表繪圖
3. 能使用統計軟體 SAS 進行一般研究所需之基本統計分析
4. 能使用 Tableau 進行資料視覺化呈現
1.Utilize and integrate the knowledge in control and deal with food safety, risk assessment and management, toxicology, and epidemiology
2.Possess the abilities of professional training and doing research in food safety
3.Cultivate the global vision in food safety
4.Cultivate the capability of logic and independent thinking to solve the problems
20
30
30
20
topic Discussion/Production
Exercises
Discussion
Lecturing
Attendance
Assignment
Quiz
Oral Presentation
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course orientation
Week 2 (Tableau) Data management: data structure, data join, grouping, splitting, binning
Week 3 (Tableau) Data management: Creating calculated fields, using functions, hierarchy, & sorting /Basic tabulating & graphing
Week 4 (Tableau) Data management: Pages, filters, creating parameters, and data brushing
Week 5 (Tableau) Tabular data on map, animation
Week 6 (Tableau) Advanced visualized graphing
Week 7 (Tableau) Dashboard & Story / Q & A
Week 8 (Tableau) Mid-term report (group report, oral presentations)
Week 9 (SAS) Data cleaning & data management
Week 10 (SAS) Data management
Week 11 (SAS) Descriptive statistics and Graphing
Week 12 (SAS) Comparisons of means (T-test, paired-t test)
Week 13 (SAS) Comparisons of means (ANOVA) / Categorical data analyses (chi-squared test)
Week 14 (SAS) Correlation analysis / Univariable linear regression analysis
Week 15 (SAS) Multivariable linear regression analysis
Review / Q & A
Week 16 (SAS) Final exam (Programming test, open book)
self-directed
learning		    02.Viewing multimedia materials related to industry and academia.
   03.Preparing presentations or reports related to industry and academia.
Evaluation
Assignment (20%)
Participation (10%)
Mid-term Report (40%)
Final Exam (30%)
Textbook & other References
1.S Acharya, S Chellappan. Pro Tableau : a step-by-step guide (2017). Apress. (電子書)
2.彭其捷。大數據時代必學的超吸睛視覺化工具與技術：Excel+Tableau成功晉升資料分析師 (2017)。博碩文化。
3.SAS/STAT 9.4 User’s Guide.
4.資料分析輕鬆學 : SAS Knowledge Today使用手冊（2018）。上奇資訊。
Teaching Aids & Teacher's Website
The course pack will be uploaded to the iLearning.
Office Hours
14:00-15:00, Thursday.
Sustainable Development Goals, SDGs(Link URL)
03.Good Health and Well-Beinginclude experience courses：N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：2025/09/04 14:57:42 Printed Date, year/month/day：2025 / 10 / 19
The second-hand book website：http://www.myub.com.tw/