Data Visualization & Storytelling — Data Science Roadmap
Turning analysis into visuals that actually communicate something
Steps in Data Visualization & Storytelling
- Principles of Visual Design — intermediate · Pre-attentive attributes, color use and reducing chart clutter
- Choosing the Right Chart Type — intermediate · Matching a chart type to the question you're actually trying to answer
- Data Visualization with Matplotlib & Seaborn — intermediate · Building static charts programmatically in Python
- Interactive Dashboards with Tableau/Power BI — intermediate · Building interactive, shareable dashboards for non-technical audiences
- Storytelling with Data — advanced · Structuring an analysis as a narrative that leads to a clear conclusion
- Avoiding Misleading Visualizations — advanced · Truncated axes, cherry-picked timeframes and other ways charts distort the truth
Part of
- Data Science roadmap — the full learning path