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Course Description
This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python. The course provides a broader coverage of the Matplotlib library and an overview of Seaborn (a package for statistical graphics). Topics covered include customizing graphics, plotting two-dimensional arrays (e.g., pseudocolor plots, contour plots, images, etc.), statistical graphics (e.g., visualizing distributions & regressions), and working with time series and image data.
Students also recommend
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Python Tutorial for Beginners by Corey Schafer (2017)
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4.8 (28 Reviews)
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Provider: YouTube
Time: 9h
Free
Reviews
- Price: 29 Track Price 29 Track Price
- Provider: DataCamp
- Level:
Intermediate - Language:
English - Certificate:
Yes - Quizzes:
Yes
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