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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.

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Overview

Content

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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

TAKEAWAY SKILLS

Data Visualization

Data Cleaning

Content

50 Lessons7 Quizzes6 Assessments

About the Course

1 Lessons

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

Introduction

Introduction to Seaborn and Statistical Analysis

5 Lessons

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

9 Lessons

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

1 Lessons

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

Visualization with Count Plots

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.

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.

Quiz on Distribution Plots

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.

Review of Regression and Different Regression Models

Visualizing the Reg Plots

Visualizing the Lmplots

Quiz on Regression Models

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.

The Importance of Figure Styling and Aesthetics

Seaborn's Built-in Themes

Figure Scaling and Styling

Seaborn Axis Spines

Seaborn Color Palettes

Quiz on Styling and Figure Aesthetics

Assessment on Styling and Figure Aesthetics

Assessment

Multiplot Grids

6 Lessons

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

Multi-Plot Grids Usage

Conditional Multiple Plots

Using Custom Functions in Multi-plot Grids

Plotting Multiple Pairwise Relations

Multi-Plot Grids with Different Styles

Quiz on Multi-Plot Grids

Assessment on Multi-Plot Grids

Assessment

10.

Project

2 Lessons

EDA Project on the Employee Dataset

EDA Solution for the Employee Dataset

11.

Closing Remarks

1 Lessons

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

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Mohammad Amir Asim Khan Jalwana

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