An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.
Beginner
50 Lessons
12h
Certificate of Completion
An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.
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This course includes
This course includes
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
TAKEAWAY SKILLS
Data Visualization
Data Cleaning
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
What You'll Learn
The ability to perform data analysis using various statistical techniques
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Course Content
About the Course
Introduction to Seaborn and Statistical Analysis
Plotting Numerical Data
Plotting Categorical Data
Plotting the Categorical Data
Visualizing Distribution of Data
7 Lessons
Visualizing Regression Models
4 Lessons
Styling and Figure Aesthetics
6 Lessons
Multiplot Grids
6 Lessons
Closing Remarks
1 Lesson
Course Author
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Souvik Kundu
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Eric Downs
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Anthony Walker
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Evan Dunbar
ML Engineer
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