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This beginner path introduces data visualization in Python through foundational Matplotlib charts, including line plots, scatter plots, histograms, bar charts, and pie charts. You will learn how to select and create visuals that communicate data clearly.
You will then use colors, grids, markers, themes, and multi-plot layouts to improve presentation and readability. Seaborn tools such as count plots, pair plots, heatmaps, and faceted plots will help you explore relationships and present complex findings.
The path concludes with techniques for visualizing time series data. You will examine trends, seasonality, recurring patterns, and extreme values to build clear visual narratives from time-based datasets.
