Data Analytics: Python Visualizations
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.42 GB | Duration: 6h 24m
Learn more than 20 types of Data Visualizations through using the Matplotlib, Seaborn and Bokeh Libraries in Python
What you'll learn
Learn to draw over 20 different kinds of Charts and Graphs using Python coding.
Learn Data Analytics Techniques / Exploratory Data Analysis (EDA) using several Data Generation and Manipulation Methods.
Extensive applications of NumPy and Pandas Data capabilities using Python.
In depth coverage of Matplotlib, Seaborn and Bokeh Visualization Libraries.
Learn visualization concepts used by numerous Business and Scientific Applications.
Extensive amount of Python - Matplotlib/Seaborn/Bokeh code used in the course are attached as downloadable resources for you to try out while you learn.
Description
Data Analytics is given meaning by the ability of Visualizations. Any Data Analytics work always finish with Data Visualization.
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.
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