**Introduction to Data Science **

Institute of

Tel: 03-5731870 Email: henryhslu@nycu.edu.tw

__Goals:__

This course will introduce data science with the computer languages of R and Python. Undergraduate knowledge of statistics will be helpful for the understanding of this course.

__Course
Outlines:__

- Introduction of Data Science
- Introduction of R and Python
- Getting Data into R and Python
- Data Visualization
- Exploratory Data Analysis
- Regression (Supervised Learning)
- Classification (Supervised Learning)
- Text Mining
- Clustering (Unsupervised Learning)
- Neural Network and Deep Learning

__Reference:__

- M. A. Pathak, Beginning Data Science with R, 2014, Springer-Verlag.
- K.-T. Tsai, Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction, 2021, Chapman and Hall/CRC.
- The Human Face of Big Data
- Data Science (數據科學)
- Machine Learning (機器學習)
- Artificial Intelligence (人工智慧)
- Biomedical Applications (生醫運用)

__Evaluation:__

- Homework: 70%
- Term Project: 30%

__Links:__