Python Matplotlib Tutorial | Matplotlib Tutorial | Python Tutorial | Python Training | Edureka

Below are the topics covered in this tutorial:

1. Why Data Visualization?
2. What Is Data Visualization?
3. Various Types Of Plots
4. What Is Matplotlib?
6. How To Use Matplotlib?

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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!

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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.

[charlesenglebert]

Far better than the Data Visualisation lesson I took at the University

[yechihast]

Very concise and practical, can't believe how much I learnt within only 30min. Thank you.

[vigneshmani]

i was reading this more than week.. you covered in 30mins...amazing...

[shubhamsahai]

Thank you for this concise but informative video!

[crazytechtips]

means u r providing everything for good job now I feel i don't need a college

[britemun]

Very nice presenting skills, clearing doubts very well..very nice course materials....overall awsum person to learn from...unfortunately I have already enrolled for data science with python but I wish to join Rstudio and hadoop from you ppl...cheers keep up the good work !

[kirankasarla]

good information covered in short time. nice

[ranveerjaipuriyar]

Thank you for the beautiful & informative video...

[lovebaking]

thanks for the explanation of the graph types.

[abhishekkaushik]

Tooo informative lecture... Keep going

[mimansakalita]

I AM IN LOVE WITH THW WAY I WAS TAUGHT
in school i couldn't understand a thing but guess what? IMMA SCORE FULL X3 THANK YOU SO MUCH!

[hrishihatolkar]

Saurabh is the person due to whom I got to learn python at good pace. Thank you edureka!!

[manjushabhoyar]

Saurabh is an amazing trainer. Thanks!

[indraneelangolu]

Can you please explain the code of histogram and multiple plots more clearly?

[aishwaryalaxmiveeramalla]

The last topic is quite unclear with that subplot values.But overall its very informative session.

[viewpoint]

Thanku for the video it's very helpful 👌👌👍👍👍

[shainamehta]

Nice Lecture. Thank you for clearing my concepts related to Matplotlib especially for plt.subplot() function.

[raunaqkoppikar]

Very informative and well explained!! Statistics is not a very strong subject of mine. This video helped me grasp some concepts of statistics pertaining to Data Science.

[rohitahirrao]

Edureka is doing good work to solve the various concepts of Data science...thank you very much🙏

[hunezausman]

Saurabh is excellent! Are there more videos on visualization?