Data Visualization is one of the most needed skills in the 21st century. If you wish to have a very successful career in Data Science domain, you must have good data visualization skills. Python is one of the most frequently used programming language for the Data Science. In this course, we will learn Matplotlib library in the Scientific Python to learn Data Visualization. We will start from the basics like installation of Python 3 and setting up the environment on different platforms. Then we will learn the NumPy data Science Library in detail.

We will learn the basics of Data Visualization in the mid course and then towards the end, we will demonstrate various types of advanced visualizations with Python 3, Jupyter Notebook, and Matplotlib in detail.

This course hasover 70 lecturesand more than 9.5 hours of videos. After finishing this course, you will confidently be able to work with Data Visualization with Python 3 and Matplotlib.

We cover a wide variety of topics, including:

• Basics of Scientific Python Ecosystem

• Basics of Digital Image Processing

• Basics of NumPy and Matplotlib

• Installation of Python 3 on Windows

• Setting up Raspberry Pi

• Tour of Python 3 environment on Raspberry Pi

• Jupyter installation and basics

• NumPy Ndarrays

• Array Creation Routines

• Basic Visualization with Matplotlib

• Ndarray Manipulation

• Random Array Generation

• Bitwise Operations

• Statistical Functions

• Plotting with Matplotlib

• Other types of visualizations (bar, histograms, scatter, and bubble)

• Contours

• 3D Visualizations (plot, mesh, and surfaces)

• Advanced Concepts in Matplotlib

• and much more.....

You will get lifetime access to over 70 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures!

So what are you waiting for? Learn Data Visualization with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!