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12h
Data Visualization and Analysis With Seaborn Library
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Delve into data visualization and analysis with Python's Seaborn library. Learn about variable types, data cleaning, creating detailed visualizations, and applying themes for more appealing results.
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Course Overview
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...Show More
This course aims to provide an introduction to data visualization and analysis using Python and the Seaborn library.
The course...Show More
WHAT YOU'LL LEARN
The ability to perform data analysis using various statistical techniques
The ability to use Pandas library for data extraction and cleaning
The ability to use Seaborn plots for different data types
The ability to use Seaborn’s distribution and regression plots to extract and visualize interesting trends in data
The ability to use Seaborn's built-in themes, palettes, and grids to enhance the plot aesthetics
The ability to perform data analysis using various statistical techniques
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TAKEAWAY SKILLS
Data Visualization
Data Cleaning
Course Content
50 Lessons7 Quizzes6 Assessments
1.
About the Course
1 Lessons
Get familiar with essential data visualization concepts, plotting styles, and seaborn's color palettes.
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