The Complete 2021 Python Visualizations Bootcamp

[mitsumi]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 43 lectures (6h 26m) | Size: 2 GB

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

What you'll learn:
Learn to draw over 20 different kinds of Charts and Graphs using Python coding.
In depth coverage of MatDescriptionlib, 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.

Requirements
Basic understanding of Python will be helpful.

Description
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 Descriptions 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 - MatDescriptionlib, 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.

Who this course is for
Developers
Python Developers
Data Scientists
Data Analysts
Big Data Professionals
Systems Analysts
Architects
IT Managers and Leaders
Techno-Functional Analysts
Business Analysts
Anyone who is in a role in handling and managing Data

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