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

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

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

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** Python Certification Training: **
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

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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

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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.

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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
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· 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

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By |2020-08-02T08:41:06+00:00August 2nd, 2020|Python Video Tutorials|22 Comments


  1. edureka! August 2, 2020 at 8:41 am - Reply

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Course curriculum, Visit our Website: Use code "YOUTUBE20" to get Flat 20% off on this training.

  2. Gabriela Almeida Monteiro August 2, 2020 at 8:41 am - Reply

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

  3. Fasna TK August 2, 2020 at 8:41 am - Reply

    Super tutorial

  4. Python data science August 2, 2020 at 8:41 am - Reply

    Cool tutorial, thanks for posting!

  5. Toshan Jagani August 2, 2020 at 8:41 am - Reply

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

  6. Mohammad Hussain Rajai August 2, 2020 at 8:41 am - Reply

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

  7. Ben Smolley August 2, 2020 at 8:41 am - Reply

    The data-set (code) for multi-variate (at the 12:15 mark) is here, guys .. Saw some people asking about it in the chat and I had the same question …

  8. Mate Soos August 2, 2020 at 8:41 am - Reply

    Thanks, helped me better understand Seaborn!

  9. Hameed Ali August 2, 2020 at 8:41 am - Reply

    This was very helpful for me great job edureka

  10. Tuhin Banerjee August 2, 2020 at 8:41 am - Reply

    Lots of thanks for the good work

  11. Rajib Mukherjee August 2, 2020 at 8:41 am - Reply

    Very well explained. Thank you.

  12. JAGATJEEBAN BASANTIA August 2, 2020 at 8:41 am - Reply

    how to create a 2D hex bin plot Using jointplot

  13. sahil mahale August 2, 2020 at 8:41 am - Reply

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

  14. ROHIT MITTAL August 2, 2020 at 8:41 am - Reply

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

  15. Pooja Mankar August 2, 2020 at 8:41 am - Reply

    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

  16. Muhammad Usman August 2, 2020 at 8:41 am - Reply

    ooooh thaaaanksssss goooooood 😀 tnx

  17. Aayush Dixit August 2, 2020 at 8:41 am - Reply

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

  18. MoonRaker August 2, 2020 at 8:41 am - Reply

    How does Seaborn perform in 3D point plotting? I found MatPlotLib to grind to a halt after 100,000 data points. I want to plot over 1 million data points.

  19. Sanjeevi .M August 2, 2020 at 8:41 am - Reply

    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

  20. Sanjeevi .M August 2, 2020 at 8:41 am - Reply

    What is univariate and bivariate distribution .

  21. DEEPAK Kumar August 2, 2020 at 8:41 am - Reply

    At 2:26 we can use'ggplot') to show these type of graph in matplotlib.

  22. Bhargav Vummadi August 2, 2020 at 8:41 am - Reply

    Thanks for the video!!!

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