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Data Visualization and Analysis With Seaborn Library

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level

Beginner

Duration

12h

Lessons

50 Lessons

Category:

An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.

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This course aims to provide an introduction to data visualization and analysis using Python and the Seaborn library.

The course begins by introducing various variable types and statistical analysis methods. Then, you get to review the foundations of data cleaning and extraction using the pandas library. In the second half of the course, you will go over different plots in Seaborn for numerical, continuous, and categorical data, as well as distribution and regression plots to gain insightful information and identify patterns in the data. Lastly, you get to learn to create complex visualizations that are also aesthetically pleasing and go into great detail about the Seaborn themes, color palettes, styling, and multiplot grids.

By the end of this course, you’ll apply the knowledge you’ve gained with a hands-on project.

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Data Visualization and Analysis With Seaborn Library
Data Visualization and Analysis With Seaborn Library
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