Learning Path

Data Visualization for Exploratory Analysis and Communication

Python Basics for Data Analysis → Storytelling with Data

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This learning path guides data scientists from Python basics through the principles of visual perception and chart selection, to hands-on practice with matplotlib, Seaborn, and Plotly, culminating in interactive dashboards and storytelling with data. Each node builds on the previous, ensuring a solid foundation for creating effective visualizations.

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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