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
Course Content
About the Course
Introduction to Seaborn and Statistical Analysis
Plotting Numerical Data
Assessment on Plotting Numerical Data
Assessment
Plotting Categorical Data
Plotting the Categorical Data
Assessment on Categorical Plots
Assessment
Visualizing Distribution of Data
7 Lessons
Assessment on Distributions of Data
Assessment
Visualizing Regression Models
4 Lessons
Assessment on Visualization of Regression Models
Assessment
Styling and Figure Aesthetics
6 Lessons
Assessment on Styling and Figure Aesthetics
Assessment
Multiplot Grids
6 Lessons
Assessment on Multi-Plot Grids
Assessment
Project
2 Lessons
Closing Remarks
1 Lesson
How You'll Learn
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