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.

Beginner

50 Lessons

12h

Certificate of Completion

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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Explanations

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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

Course Content

About the Course

Get familiar with essential data visualization concepts, plotting styles, and seaborn's color palettes.

Introduction

Introduction to Seaborn and Statistical Analysis

Look at data visualization essentials, variable types, statistical analysis, and starting with Seaborn.

Overview of Data Visualization, Variables, and their Types

Types of Variables in Statistical Analysis

Types of Statistical Analysis

Getting Started with Seaborn Library Quiz on Variable Concepts

Plotting Numerical Data

Examine tools to manipulate, clean, and visualize numerical data using pandas and Seaborn.

Introduction to pandas Data Cleaning with pandas Scatter Plots Pair Plots Adding the hue Parameter for Color Encoding Data Visualization with Line Plots Relplots Visualization with Heatmaps Quiz on Plotting Numerical Data

Assessment on Plotting Numerical Data

Assessment

Plotting Categorical Data

Apply your skills to visualize and analyze categorical data using count plots in Seaborn.

Visualization with Count Plots

Plotting the Categorical Data

Take a closer look at plotting categorical data using Seaborn's bar, point, box, violin, swarm, strip, and cat plots.

Visualization with Bar Plots Visualization with Point Plots Visualization with Box Plots Visualization with Violin Plots Visualization with Swarm Plots Visualization with Strip Plots Visualization with Cat Plots Quiz on Plotting Categorical Data

Assessment on Categorical Plots

Assessment

Visualizing Distribution of Data

7 Lessons

Investigate visualizing data distributions with KDE, hist, ECDF, rug, joint, and displots in Seaborn.

Data Visualization with Seaborn for Walmart Sales Projection

Project

Assessment on Distributions of Data

Assessment

Visualizing Regression Models

4 Lessons

Build on visualizing and analyzing regression models, reg plots, and lmplots with Seaborn.

Assessment on Visualization of Regression Models

Assessment

Styling and Figure Aesthetics

6 Lessons

Get familiar with figure aesthetics, Seaborn themes, scaling, styling, axis spines, and color palettes.

Assessment on Styling and Figure Aesthetics

Assessment

Multiplot Grids

6 Lessons

Walk through multi-plot grids to visualize variable relationships and customize plots.

Assessment on Multi-Plot Grids

Assessment

10.

Project

2 Lessons

11.

Closing Remarks

1 Lesson

Grasp the fundamentals of data visualization and analysis using the Seaborn library.

Course Author

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