Learning Path

Data Science Portfolio Development for Job Seekers

Data Science Project Lifecycle → Portfolio Project Execution

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This learning path guides data scientists through creating a professional portfolio that demonstrates their skills to employers. It covers project selection, GitHub portfolio building, Kaggle competitions, code quality, documentation, README writing, and presentation skills, each building on the previous.

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Learning Route

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

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps