The course consists of two parts:
Part 1. Introduction of GIS Applications in Data Science
Students will learn the fundamentals of Geographic Information Systems (GIS), and explore on the vector and raster datasets, learn techniques for spatial data collection, preprocessing, analysis, and visualization.
Part 2. Python for Data Science
Students will learn the basics of Python programming and will proceed with handling data structures, such as NumPy arrays, and Pandas DataFrames. Students will also learn about data visualizations with Python libraries such as Matplotlib, made with actual datasets for the eventual goal of design optimization.
Part 1. Introduction of GIS Applications in Data Science
Students will learn the fundamentals of Geographic Information Systems (GIS), and explore on the vector and raster datasets, learn techniques for spatial data collection, preprocessing, analysis, and visualization.
Part 2. Python for Data Science
Students will learn the basics of Python programming and will proceed with handling data structures, such as NumPy arrays, and Pandas DataFrames. Students will also learn about data visualizations with Python libraries such as Matplotlib, made with actual datasets for the eventual goal of design optimization.
- Teacher: ADRIANA ERICA AMALUDIN Dr.
- Teacher: EUGENE SOO ZHEN XIANG Dr.
Mod Kursus: PTG