KIT MICMoR SummerSchool 2019

Notebooks and info for the MICMoR SummerSchool "Environmental Data Science: From Data Exploration to Deep Learning", IMK-IFU KIT Campus Alpin, Sept. 4 - 13 2019, Garmisch-Partenkirchen, Germany.

This course covers the PyData stack and setting up a Data Science-centric development environment, good practices in reproducible science and the handling of common data formats. It then goes into Explorative Data Analysis techniques and effective visualisation, Machine Learning methods and finally applications of Deep Learning models for various Environmental Science tasks.

Timetable

Notebooks

Introductions

Notebook	Topic	Description
01_intro_python	Python basics	A general intro to Python concepts
02_intro_numpy	Numerical computation	A short introduction into key numerical python concepts
03_intro_matplotlib	Plotting	The basic plotting facility in Python
04_intro_pandas	Tabular data	The library to handle tabular data in python
05_intro_xarray	Gridded data	A great package to handle gridded data (based on numpy and pandas, uses netCDF as backend

Data formats, ETL and visualization

(coming up)

Classical Machine Learning / Special Topics

(coming up)

Special topics:

(coming up)

Classical Machine Learning 2 / Time-series analysis

(coming up)

Deep Learning

(coming up)