MUSA-5500-Geospatial Data Science in Python

This course will provide students with the knowledge and tools to turn data into meaningful insights, with a focus on real-world case studies in the urban planning and public policy realm.ts and transform results into understandable and compelling narratives.

Outline

• Week 1. Introduction to Python and Programming Basics Labs:

  • Week 1A. Environment setup and Python basics (Link)
  • Week 1B. More about Python (Link)

• Week 2. Data Visualization Fundamentals

  • Lab: Data Visualization with Matplotlib and Seaborn

• Week 3. Data Manipulation with Pandas

• Week 4. Geospatial Data Handling with GeoPandas

• Week 5. Spatial Analysis and Geospatial Operations

• Week 6. Introduction to Spatial Databases with PostGIS

• Week 7. Spatial Data Science with Python

• Week 8. Advanced Spatial Analysis Techniques

• Week 9. Machine Learning for Spatial Data

• Week 10. Case Studies in Spatial Data Science