教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
111-2	314111	資料科學與視覺化	1	3.0	3	★	李鎮宇	經管所	21	0

教學大綱與進度：

教師姓名	李鎮宇　教師諮商時間(Office Hours)
Email	G.C.Li@ntut.edu.tw
最後更新時間	2023-02-23 12:28:18
課程大綱	This course introduces data science and data visualization through the R language. The course assumes no prior experience in R or data programming. Focusing on applied data science skills, students will be introduced to the methods to tidy, explore, transform, and visualize data. Students will practice them with real data in exercises and projects.
課程進度	Week. Dates: Content I.Data Science 1. 2/23-24: Introduction to course, installation 2. 3/2-3: Basic R Commands, packages 3. 3/9-10: Data selection, Data formats 4. 3/16-17: Workflows, comparisons 5. 3/23-24: Data transformations 6. 3/30-31: Functions, Iteration II. Visualization 7. 4/6-7: Data Preparation (Ch. 1) 8. 4/13-14: Introduction to ggplot (Ch. 2) 9. 4/20-21: Exam Week 10. 4/27-28: Univariate Graphs (Ch. 3), Bivariate Graphs (Ch. 4) 11. 5/4-5: Multivariate Graphs (Ch. 5), Maps (Ch. 6) 13. 5/11-12: Time Series Graphs (Ch. 7), Statistical Models and Graphs (Ch. 8) III. Practice 13. 5/18-19: Project Time 14. 5/26-26: Introduction to R libraries and modeling 15. 6/1-2: Project Seminar 16. 6/8-9: Last Class 17. 6/15-16: Exam Week
評量方式與標準	32.5% Homework and Quizzes 32.5% Midterm 35.0% Final Project 100% Total
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Textbook: Data Visualization with R, Rob Kabacoff (free) Reference: Hands-On Programming with R, Garrett Grolemund (free) Reference: R in Action: Data Analysis and Graphics with R, Robert Kabacoff, Manning Publications, 2015
課程諮詢管道	Send LINE message or email the instructor.
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