Data Visualization in Python using matplotlib

Learn to Visualize Data with Custom, Beautiful Charts, Suitable for All Purposes

What you'll learn

In this course, you will learn how to visualise data in Python using matplotlib library. The entire course in hands-on. We will start from the very basics and progress to advance levels of charting, animation and 3D visualisation.

Matplotlib is the "grandfather" library of data visualization with Python. It was created by John Hunter. He created it to try to replicate MatLab's (another programming language) plotting capabilities in Python.

The complete course is hands on and I will also be sharing the .ipynb files with you. It starts with the basics and progresses to advanced concepts.

Requirements

  • Basic knowledge of Python
  • Basic knowledge of numpy
  • Developer skills
  • Jupyter IDE

Who this course is for

  • For beginners in Data Science


Your Instructor


Veena Sarda
Veena Sarda

Veena has more than 22 years’ experience in the software industry. Veena is currently freelancing as a Deep Learning Consultant, speaker, author and trainer.

So far have taught more than 900 students in Python Core and Advanced, Machine

Learning, Artificial Intelligence, Deep Learning - both online and classroom training.

Author

Written more than 100 articles at https://www.c-sharpcorner.com/members/veena-

sarda

Written a book on SharePoint 2013 Performance

Speaker

Guest lecturer on Artificial Intelligence and ML in multiple colleges – some of them

Amity Delhi, Anjuman College Nagpur, D.Y.Patil, Pune


Course Curriculum


  Section 1 - Line, Charts, Emojis, Multi colored Polygons
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  Section 2 - Pie chart and interactive magic command
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  Section 3 - Bar, Charts, Horozontal, Vertical, Stacked
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  Section 4 - Curves , Equations, Annotation, Text and Scientific Notations
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  Section 5 - Histograms, Using Histograms on image data
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  Section 6 - Box Plots, Violin Plots.zip
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  Section 7 - Object Oriented Interface, Subplots, ScatterPlot
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  Session 8 - Animation and interaction in matplotlib
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  Section 9 - 3D Plots in matplotlib
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!