Learning Path

High-Performance Data Analytics

Python for Scientific Computing → High-Performance Analytics Capstone

13 Knowledge Nodes · 13 Learning Steps · v0 Active

A professional learning path for data scientists in scientific domains to master high-performance analytics. It covers scalable data processing with Spark and Dask, distributed computing fundamentals, scientific data formats, and streaming analytics, progressing from core concepts to advanced applications.

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13 nodes21 edges3 relationships

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Learning Route

13 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

5 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps