Geodata-Science-Learning-Path

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Geodata-Science-Learning-Path

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curriculum for learning Geodata Science ( Spatial Data Science)

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# Geographic Data Science Learning Path
### Courses, Workshops, Tutorials and Books

Curriculum for learning Geodata Science (Spatial Data Science)

## Begginer:
1. [Geopython](https://geo-python.github.io/2017/) - University of Helsinki (Complete course open access to all materials) - **Geo**
2. [Linear Algebra](https://www.khanacademy.org/math/linear-algebra) - Khan Academy
3. [Linear Algebra](https://ocw.mit.edu/courses/mathematics/18-700-linear-algebra-fall-2013/) - MIT
4. [Calculus](https://www.khanacademy.org/math/calculus-home?t=classes) Khan Academy
5. [Calculus 1B: Integration](https://www.edx.org/course/calculus-1b-integration-mitx-18-01-2x-0)
6. [Calculus 1C: Coordinate Systems & Infinite Series](https://www.edx.org/course/calculus-1c-coordinate-systems-infinite-mitx-18-01-3x-0) edx MiT

## Intermediary:) - MIT
1. [Automating GIS-processes](https://automating-gis-processes.github.io/2017/) - University of Helsinki (Complete course open access to all materials) - **Geo**
2. [COMPSCI 109A: Data Science 1: Introduction to Data Science](https://canvas.harvard.edu/courses/29726/pages/videos) - Harvard University 
3. [ENVS363/563 Geographic Data Science](http://darribas.org/gds17/) - University of Liverpool - **Geo**
4. [CS109: Probability for Computer Scientists](https://web.stanford.edu/class/archive/cs/cs109/cs109.1166//handouts/overview.html) - Stanford University 
5. [Python for Data Science and Machine Learning Bootcamp](https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/) - Udemy 
6. [Statistics and Probability in Data Science using Python](https://www.edx.org/course/statistics-probability-data-science-uc-san-diegox-dse210x) Edx 
7. [Machine Learning Fundamentals](https://www.edx.org/course/machine-learning-fundamentals-uc-san-diegox-dse220x)  Edx

## Advanced:
1. [Spatial Data Science (SOCI 20253)](https://spatial.uchicago.edu/content/lectures-luc-anselin-uchicago) - Chicago University - **Geo**
2. [Spatial Regression Analysis (SOCI 40217)](https://spatial.uchicago.edu/content/lectures-luc-anselin-uchicago) - Chicago Univeristy - **Geo**
3. [Big Data Analytics Using Spark](https://www.edx.org/course/machine-learning-fundamentals-uc-san-diegox-dse220x) Edx
4. [Deep Learning](https://www.coursera.org/specializations/deep-learning) Coursera

## Workshops and Tutorials
1. [Geographic Data Science with PySAL and the pydata stack](https://github.com/darribas/gds_scipy16)
2. [Geospatial Data with Open Source Tools in Python](https://github.com/kjordahl/SciPy-Tutorial-2015)
3. [Combining satellite imagery and machine learning to predict poverty](https://github.com/nealjean/predicting-poverty)
4.

TBC

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