EulerFoldPython Data Visualization
“A three-week Python path from tabular data handling to production visualization pipelines, emphasizing reproducible code, statistical integrity, and interactive/static chart engineering. It is calibrated for a novice but moves quickly toward expert-level practices through verifiable build tasks.”
Python Data Stack and Visualization Foundations
By the end of this module you will be able to load, clean, profile, and reshape tabular data with pandas and NumPy, then match analytical questions to appropriate visual encodings and chart families.
Static Plotting with Matplotlib, Seaborn, and Altair
By the end of this module you will be able to construct static charts using Matplotlib's object-oriented API, Seaborn statistical plots, and Altair's declarative grammar with explicit axes, legends, facets, annotations, and export settings.
Statistical Visualization and Data Storytelling
By the end of this module you will be able to communicate statistical evidence using distribution, relationship, uncertainty, and diagnostic plots that avoid misleading scales or unsupported claims.
Interactive Visualization with Plotly, Dash, and Altair
By the end of this module you will be able to build interactive browser-based visualizations and dashboards with Plotly, Dash, and Altair interactions, including linked controls, hover semantics, responsive layouts, and deployment artifacts.
Domain-Specific Visualizations
By the end of this module you will be able to implement specialized visualizations for time series, geospatial, hierarchical, network, and high-dimensional data using correct temporal, spatial, and dimensional transformations.
Production Visualization Pipeline and Capstone
By the end of this module you will be able to engineer a reusable Python visualization pipeline with tests, documentation, accessibility checks, and a polished capstone report or dashboard.
References
Week 1: Python Data Stack and Visualization Foundations
Week 2: Static Plotting with Matplotlib, Seaborn, and Altair
Week 3: Statistical Visualization and Data Storytelling
Week 4: Interactive Visualization with Plotly, Dash, and Altair
Week 5: Domain-Specific Visualizations
Week 6: Production Visualization Pipeline and Capstone
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