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Fundamentals of Seaborn

      Author: Baturi   |   15 March 2022   |   comments: 0



Fundamentals of Seaborn
Instructors: AJ Jackson | 3 sections * 18 lectures * 48m
Video: MP4 1280x720 44 KHz | English + Sub | Updated 2/2022 | Size: 244 MB

An Overview of Seaborn and The Different Descriptions Available in Seaborn


What you'll learn
Learn the fundamentals of Seaborn
Overview of different Descriptions available in Seaborn
Learn about the different families of Descriptions built into Seaborn
Features of Seaborn
Python for Data Visualization
Hands-on learning with Seaborn
Requirements
Basic understanding of python
Description
This course will help you get started with Seaborn by walking through the structure of its library, showing how to create key charts in Seaborn, and comparing the results with equivalent Descriptions created with MatDescriptionlib.
Seaborn is a Python data visualization library based on matDescriptionlib. It provides beautiful default styles and color palettes to make statistical Descriptions more attractive. It is built on the top of matDescriptionlib library and also closely integrated to the data structures from pandas.
In this course, I will guide you through an overview of different Descriptions available in Seaborn.
We will go over three different families of Descriptions built into Seaborn: relational, distribution, and categorical Descriptions. Relational Descriptions are used for highlighting the relationship between two variables.
In Seaborn, these are scatter Descriptions and line Descriptions. Distribution Descriptions make it easy to see the shape of a data set, and help understand how its values are distributed.
Seaborn aims to make visualization the central part of exploring and understanding data. It provides dataset-oriented APIs, so that we can switch between different visual representations for same variables for better understanding of dataset.
This course takes a detailed look at this library in the Seaborn.
Data visualization has been one of the most important driving forces in the field of Data Analytics. It powers millions of businesses across the globe and provides in-depth insights into the data at hand. This makes it vital that you know about the latest and the most popular data visualization libraries out there: Seaborn in Python is one of these.
Who this course is for
Developers, Programmers, Python developers, Anyone interested in learning Seaborn



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