Python Seaborn Tutorial | Data Visualization in Python Using Seaborn | Edureka

This Edureka video on 'Python Seaborn Tutorial' is to educate you about data visualizations using Seaborn in Python. Below are the topics covered in this video:

Introduction to Seaborn
Seaborn vs Matplotlib
How to install Seaborn
Installing dependencies
Seaborn Plotting functions
Multi-plot grids
Plot-Aesthetics

#Edureka #PythonEdureka #PythonSeabornTutorial #pythonProgramming #pythonTutorial #PythonTraining

(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

-----------------------------------------------------------------------------------------------------------
How it Works?

1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -
About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

- - - - - - - - - - - - - - - - - - -
Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

- - - - - - - - - - - - - - - - - - -
Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:

· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models

[poojamankar]

Cleary explains just one suggestion when u load the dataset pls specify features n target it may helpful for those r not aware of the dataset... Thanks

[soosmate]

Thanks, helped me better understand Seaborn!

[hameedali]

This was very helpful for me great job edureka

[techteens]

man edurea is like THE BEST!!!!. I learnt like a complete data science course. AI and ML is next in the list.

[gabrielaalmeidamonteiro]

08:31 - how to plot categorical data in seaborn.
15:22 - how to change the background color of your plot.

[aditipathak]

how can i import .csv file into jupyter notebook

[aayushdixit]

a very nice initiative...best digital, data related education platform

[sanjeevi]

When you load the dataset using sns but how it is know where the dataset come from like github or kagle or some public site i.e you can't specify any github url to sns but i wonder, why it's not throwing an error

[rohitmittal]

a=pd.read_csv("flights.csv") is working but a=sns.load_dataset("flights") is not working.

[calwinchopra]

edureka!
is the best channel for learning all things, and the mam voice is so beautiful

[MHRAJAI]

from where we can load the data and which format should have?

[birasafabrice]

this is a very good tutorial, thanks!

[pramodmalvadkar]

Please provide exact link for flights dataset

[purveshpatel]

how to plot csv file data using seaborn ?

[sahilmahale]

how can we load data from github in pycharm...its not working there

[sanjeevi]

What is univariate and bivariate distribution .

[jagatjeebanbasantia]

how to create a 2D hex bin plot Using jointplot