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Data Visualization with Python using Matplotlib
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
This course will guide you through all the possible techniques that are used to visualize data using the Matplotlib Python library.
In this course, we will explore the main functionalities of Matplotlib: we will look at how to customize Matplotlib objects, how to use various plotting techniques, and finally, we will focus on how to communicate results.
Learning Objectives
Learn the fundamentals of Python's Matplotlib library and its main features
Customize objects in Matplotlib
Create multiple plots in Matplotlib
Customize plots in Matplotlib (annotations, labels, linestyles, colors, etc)
Understand the different plot types available
Intended Audience
Data scientists
Anyone looking to create plots and visualize data in Matplotlib
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 Matplotlib 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-matplotlib
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