Data Visualization in Python Using Matplotlib and Seaborn

We will be using several data visualization libraries in Python Matplotlib, Seaborn.

4.45 (17 reviews)
Udemy
platform
العربية
language
IT Certification
category
instructor
Data Visualization in Python Using Matplotlib and Seaborn
1,149
students
4 hours
content
Jun 2022
last update
$39.99
regular price

What you will learn

What is data visualization ?

Why is it important?

What types of data are?

How can i visualize categorical data?

How can i visualize Numerical data?

Exploring the distribution

Create line, bar, box, scatter, pie, violin, strip, cat, reg, join, hist, heat map, cluster map, pair, count and other plots!

Create projects using real world data

Work with Jupyter Notebooks

learn basics of seaborn

Create rich informative data graphs

Format your graphs for simplicity

Data analysis with Python

Transform raw data into beautiful interactive visuals

Description

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

Welcome to this project-based course on Data Visualization with seaborn. In this project, you will create quick and interactive data visualizations with seaborn: a high-level data visualization library in Python inspired by matplotlib. You will explore the various features of the in-built Gapminder dataset, and produce interactive, publication-quality graphs to augment analysis.

One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.


Content

Introduction to data visualization

What is data visualization and types of it?
Introduction to Seaborn | How seaborn Python works

Seaborn histplot | How to make a Seaborn histogram plot with Python code

Seaborn histplot

Seaborn boxplot | Box plot explanation and how to make a box plot

Seaborn Boxplot

What is a violin plot and how to make a Seaborn violinplot in Python

Seaborn Violin plot

Seaborn stripplot | What is a strip plot and how to make a strip plot in Python

Seaborn stripplot

Seaborn scatter plot | How to make and style a scatterplot in Python seaborn

Seaborn scatter plot

Seaborn regplot | What is a regplot and how to make a regression plot in Python

Seaborn regplot

Seaborn heatmap | How to make a heatmap in Python Seaborn and adjust the heatmap

Seaborn heatmap

Seaborn clustermap | How the clustermap works and what is the clustermap?

Seaborn clustermap

Seaborn Bar Plot Tutorial | How to make and style a barplot with Seaborn Python

Seaborn Bar Plot

Seaborn countplot | What is the countplot?

Seaborn countplot

Seaborn jointplot | What is a joint plot and how to code a jointplot in Python

Seaborn jointplot

Seaborn catplot | Using catplot kind to create multiple categorical plots

Seaborn catplot

Seaborn JointGrid | Understanding the jointgrid

Seaborn JointGrid

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DateDiscountStatus
6/29/2022100% OFF
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4748892
udemy ID
6/23/2022
course created date
6/29/2022
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