Data Visualization
Master data visualization in Python with Matplotlib. Explore plotting techniques, customization, and advanced charting to present data insights professionally.
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Learning Objectives
What You will Learn in This Course
Understand the Pyplot and Object-Oriented interfaces.
Master basic plots: Line, Bar, Scatter, Pie, and Histogram.
Customize every element: Figures, Axes, Labels, and Legends.
Implement multi-plot layouts with Subplots and Gridspec.
Create 3D plots and complex scientific visualizations.
Save plots in high-resolution formats for publications.
Learn to style plots with stylesheets and configuration.
Integrate Matplotlib with Jupyter Notebooks and Pandas.
Course Schedule
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Advanced Layout Management
Deep dive into GridSpec, inset axes, and complex nested layouts.
Scientific Customization
Implement Logarithmic scales, polar plots, and customized ticks.
Design Principles
Apply Information design and color theory for clarity enhancement.
Publication Qualities
Style charts for research posters and export in vector formats.
Interactive Widgets
Build Sliders, Buttons, and basic UI elements within Matplotlib.
Presentation Project
Develop a publication-ready data story for a complex scientific topic.
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