Data Visualization with Python using MatDescriptionlib

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MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English | Duration: 8 Lectures (1h 21m) | Size: 3.16 GB
Description

This course will guide you through all the possible techniques that are used to visualize data using the MatDescriptionlib Python library.
In this course, we will explore the main functionalities of MatDescriptionlib: we will look at how to customize MatDescriptionlib objects, how to use various Descriptionting techniques, and finally, we will focus on how to communicate results.
Learning Objectives
Learn the fundamentals of Python's MatDescriptionlib library and its main features
Customize objects in MatDescriptionlib
Create multiple Descriptions in MatDescriptionlib
Customize Descriptions in MatDescriptionlib (annotations, labels, linestyles, colors, etc)
Understand the different Description types available
Intended Audience
Data scientists
Anyone looking to create Descriptions and visualize data in MatDescriptionlib
Prerequisites
To get the most out of this course, you should already be familiar with using Python, for which you can take our Introduction to Python learning path. Knowledge of Python's Pandas library would also be beneficial and you might want to take our courses Working with Pandas and Data Wrangling with Pandas before embarking on this MatDescriptionlib course.
Resources
The data used in this course can be found in the following GitHub repository:

https://github.com/cloudacademy/data-visualization-with-python-using-matDescriptionlib

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