Seaborn python tutorial | Data Visualization Using Python Seaborn | Great Learning

This tutorial takes you through the basics and various functions of Seaborn. It is specifically useful for people working on data analysis. After completing this tutorial, you will find yourself at a position where you would be able to implement this knowledge towards a constructive purpose.

This "Seaborn Python Tutorial" will help you to implement all the different plots with Seaborn. Data Visualization is an essential component of a data scientist’s skill set and seaborn is one of the most popular packages in python to implement data visualization. With the help of seaborn, you can create beautiful bar-plots, box-plots, scatter-plots, histograms and so much more.

When you’re using Python for data science, you’ll most probably have already used Matplotlib, a 2D plotting library that allows you to create publication-quality figures. There is another complementary package that is based on this data visualization library which is "Seaborn", which provides a high-level interface to draw statistical graphics, and this tutorial includes all the basic concepts of Seaborn Python that will help you to understand it in a better way.

🏁 Topics Covered:
00:00:00 Introduction
00:37:00 - Introduction to Visualization
00:19:30 - Demo with Seaborn

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[soulfulscientist]

I just want to hug u guys. May God bless you for teaching us so well

[AmitYadav-rlff]

Hey @GreatLearning. Can you tell me what should we prefer for data visualization as a data scientist. Should we go for Tableu or libraries like Seasborn

[nakulmali]

Thanks Greatlearning for this video but I request you please upload 6-7 hours video on Tensorflow 2.X for beginners

[mannsantro]

Can you please share the ppts used in the tutorial.