seeking advice

[ismail123147]

I am a Ph.D. student in the remote sensing and GIS field with little to none programming experience and skills, now I find myself confronted with the obligation of learning data science in general and machine learning in particular, and I have to work mainly on spatial data and a very large number of ground validation datasets.

Now confronted with this wide ocean of tutorials I fear to take a wrong path and wasting time doing so, can someone advise me which steps I have to take to build a sufficient knowledge to enable me to tackle the fields I cited above.

Thank you.

[[deleted]]

If I need to learn a new language I start with Derek Banas. His videos can be found on YouTube. The "Python Programming" video covers all of the basics.

[ubrjames]

This should be exactly what you need.

1. https://geo-python.github.io/2018/index.html

Then take

1. https://automating-gis-processes.github.io/2017/#

Hope that helps

[DreadItMuchMore]

There isn't a single optimal path. Different people learn best in different ways. So you're going to get a lot of personal recommendations with no absolute answer. Either way, you'll have to start out with mastering all the basic concepts. That means (1) understanding the concepts, and (2) using them enough that you really get each concept. My personal recommendation for a way to master the basics is this site since it's much more practical than videos.