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Data Visualization and Analysis With Seaborn Library - AI-Powered Course
4.5
Beginner
12h
Data Visualization and Analysis With Seaborn Library
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.
Join 2.8M developers at
Overview
Content
Reviews
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.
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
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.
2.
Introduction to Seaborn and Statistical Analysis
5 Lessons
Look at data visualization essentials, variable types, statistical analysis, and starting with Seaborn.
3.
Plotting Numerical Data
9 Lessons
Examine tools to manipulate, clean, and visualize numerical data using pandas and Seaborn.
4.
Plotting Categorical Data
1 Lessons
Apply your skills to visualize and analyze categorical data using count plots in Seaborn.
5.
Plotting the Categorical Data
8 Lessons
Take a closer look at plotting categorical data using Seaborn's bar, point, box, violin, swarm, strip, and cat plots.
6.
Visualizing Distribution of Data
7 Lessons
Investigate visualizing data distributions with KDE, hist, ECDF, rug, joint, and displots in Seaborn.
7.
Visualizing Regression Models
4 Lessons
Build on visualizing and analyzing regression models, reg plots, and lmplots with Seaborn.
8.
Styling and Figure Aesthetics
6 Lessons
Get familiar with figure aesthetics, Seaborn themes, scaling, styling, axis spines, and color palettes.
9.
Multiplot Grids
6 Lessons
Walk through multi-plot grids to visualize variable relationships and customize plots.
10.
Project
2 Lessons
11.
Closing Remarks
1 Lessons
Grasp the fundamentals of data visualization and analysis using the Seaborn library.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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