/Geodata-Science-Learning-Path

curriculum for learning Geodata Science ( Spatial Data Science)

Geographic Data Science Learning Path

Courses, Workshops, Tutorials and Books

Curriculum for learning Geodata Science (Spatial Data Science)

Begginer:

  1. Geopython - University of Helsinki (Complete course open access to all materials) - Geo
  2. Linear Algebra - Khan Academy
  3. Linear Algebra - MIT
  4. Calculus Khan Academy
  5. Calculus 1B: Integration
  6. Calculus 1C: Coordinate Systems & Infinite Series edx MiT

Intermediary:) - MIT

  1. Automating GIS-processes - University of Helsinki (Complete course open access to all materials) - Geo
  2. COMPSCI 109A: Data Science 1: Introduction to Data Science - Harvard University
  3. ENVS363/563 Geographic Data Science - University of Liverpool - Geo
  4. CS109: Probability for Computer Scientists - Stanford University
  5. Python for Data Science and Machine Learning Bootcamp - Udemy
  6. Statistics and Probability in Data Science using Python Edx
  7. Machine Learning Fundamentals Edx

Advanced:

  1. Spatial Data Science (SOCI 20253) - Chicago University - Geo
  2. Spatial Regression Analysis (SOCI 40217) - Chicago Univeristy - Geo
  3. Big Data Analytics Using Spark Edx
  4. Deep Learning Coursera

Workshops and Tutorials

  1. Geographic Data Science with PySAL and the pydata stack
  2. Geospatial Data with Open Source Tools in Python
  3. Combining satellite imagery and machine learning to predict poverty

TBC