The Complete 2021 Python Visualizations Bootcamp

Learn more than 20 types of Visualizations using the Matplotlib, Seaborn and Bokeh Libraries in Python

A staggering amount of Data is generated by Businesses every day. Businesses need to use these data in a very meaningful ways to take decisions.

What you’ll learn

  • Learn to draw over 20 different kinds of Charts and Graphs using Python coding..
  • In depth coverage of Matplotlib, Seaborn and Bokeh Visualization Libraries..
  • Learn visualization concepts used by numerous Business and Scientific Applications..
  • Extensive applications of NumPy and Pandas Data capabilities using Python..
  • Learn Exploratory Data Analysis (EDA) using several Data Generation and Manipulation Methods..
  • Test your understanding through a set of quizzes..

Course Content

  • Matplotlib and Seaborn – Libraries and Techniques –> 19 lectures • 3hr 10min.
  • Advanced Visualisations using Business Applications –> 14 lectures • 2hr 11min.
  • Working with the Beautiful and Powerful Bokeh Library –> 10 lectures • 1hr 5min.

The Complete 2021 Python Visualizations Bootcamp

Requirements

  • Basic understanding of Python will be helpful..

A staggering amount of Data is generated by Businesses every day. Businesses need to use these data in a very meaningful ways to take decisions.

Data in its raw and voluminous form are not useful to Businesses. Visualizations come to the rescue to create powerful Graphs and Plots that help create meaning out of underlying Data.

Every IT endeavor today has associated Visualization components. It has become paramount for Analysts, Developers, Architects, IT Managers as well as Techno-Business professionals and every Data Science and Data professional to understand the concepts of Visualizations thoroughly using popular tools and techniques to help Businesses drive crucial decisions for their divisions and organizations.

The Complete 2021 Python Visualizations Bootcamp brings you just the knowledge required to develop an in-depth understanding of creating visualizations using the Python language. It teaches you three very popular and powerful Python visualization libraries – Matplotlib, Seaborn and Bokeh.

This course takes a holistic approach towards teaching Visualizations:

– Take real-life, business scenarios and raw data to go through detailed Exploratory Data Analysis (EDA) techniques to prepare your raw data to suit the appropriate visualization needs.

– EDA Techniques using multiple different data structures using Numpy and Pandas libraries.

– Teach Chart/Graph types, customization and vectorization techniques.

Throughout the course, extensive amount of Code demo along with concepts as a balanced approach to teaching.

Every concept is taught by going deeper into foundational techniques and deeper customizations.

5 Quizzes are infused at logical points to validate the learning effectiveness.