Data Visualization is one of the most in demand skills in today's job market. A well trained Data Visualization earns at least a six digit remuneration in technology domain. Python 3 is one of the favorite and widely programming languages in the domain of the Data Science.

In this course, we will explore NumPy, Seaborn, Pandas, Bokeh, Leather, and Pygal libraries in Pandas in detail. We will learn how to install and use these libraries in detail. After finishing this course, you will be able to handle any project at your workplace that needs deep knowledge of these libraries.

The course has downloadable PDFs and code files along with the video lectures.

This course hasover 85 lecturesand more than 11 hours of videos.

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

• Python 3 and Matplotlib Data Visualization Recipes

• Seaborn recipes

• Seaborn and Pandas

• Bokeh

• Leather

• Pygal

You will get lifetime access to over 85 lectures plus corresponding PDFs 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!