Files Included :

01 - Effectively present data with Python.mp4 (3.36 MB)
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02 - Before you start.mp4 (1.44 MB)
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03 - Using the exercise files.mp4 (1014.76 KB)
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01 - Value of data visualization.mp4 (1.35 MB)
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02 - Leverage programming languages.mp4 (4.31 MB)
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03 - Overview of Jupyter Notebooks.mp4 (2.71 MB)
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01 - Introduction to pandas.mp4 (2.63 MB)
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02 - Create sample data.mp4 (10.98 MB)
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03 - Load sample data.mp4 (6.03 MB)
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04 - Basic operations.mp4 (4.49 MB)
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05 - Simplify with slicing.mp4 (9.22 MB)
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06 - Filter and clean data.mp4 (12.1 MB)
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07 - Rename and delete columns.mp4 (7.15 MB)
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08 - Aggregate functions.mp4 (6.6 MB)
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09 - Identify missing data.mp4 (8.39 MB)
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10 - Remove or fill in missing data.mp4 (11.32 MB)
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11 - Convert pandas DataFrames.mp4 (3.35 MB)
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12 - Export pandas DataFrames.mp4 (3.3 MB)
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01 - Basics of Matplotlib.mp4 (9.49 MB)
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02 - Set marker type and colors.mp4 (4.05 MB)
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03 - MATLAB-style vs object syntax.mp4 (4.09 MB)
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04 - Set titles, labels, and limits.mp4 (10.22 MB)
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05 - Add grids.mp4 (5.28 MB)
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06 - Create legends.mp4 (3.65 MB)
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07 - Save plots to files.mp4 (6.19 MB)
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08 - Create plots with Matplotlib wrappers.mp4 (11.13 MB)
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01 - Create heatmaps.mp4 (8.59 MB)
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02 - Create histograms.mp4 (7.36 MB)
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03 - Create subplots.mp4 (10.66 MB)
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01 - Next steps.mp4 (3.09 MB)
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