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Advanced Climate Data Science with Python and R

Foundations of Climate Data → Spatial Visualization Techniques

This learning path equips data scientists and climate scientists with advanced skills to analyze large-scale climate data using Python and R. It covers essential climate science concepts, programming, statistics, machine learning, cloud computing, and visualization, culminating in a capstone project.

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18 steps · 18 nodes · 4 stages

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18 nodes22 edges3 relationships

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Path Steps

18 steps · 4 stages. Click any step to inspect it and see it on the Path Map.

Stage 1

Foundation

5 steps

Stage 2

Core Concepts

5 steps

Stage 3

Advanced Topics

4 steps

Stage 4

Specialization

4 steps

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