Data Visualization and Analysis With Seaborn Library

Data Visualization and Analysis With Seaborn Library

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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

6 Assessments
325 Playgrounds
7 Quizzes

This course includes

6 Assessments
325 Playgrounds
7 Quizzes

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

1.

About the Course

2.

Introduction to Seaborn and Statistical Analysis

3.

Plotting Numerical Data

Assessment on Plotting Numerical Data

Assessment

4.

Plotting Categorical Data

5.

Plotting the Categorical Data

Assessment on Categorical Plots

Assessment

6.

Visualizing Distribution of Data

7 Lessons

Assessment on Distributions of Data

Assessment

7.

Visualizing Regression Models

4 Lessons

Assessment on Visualization of Regression Models

Assessment

8.

Styling and Figure Aesthetics

6 Lessons

Assessment on Styling and Figure Aesthetics

Assessment

9.

Multiplot Grids

6 Lessons

Assessment on Multi-Plot Grids

Assessment

10.

Project

2 Lessons

11.

Closing Remarks

1 Lesson

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