Data Visualization with Python and Matplotlib

Python,Data Visualization,Matplotlib

This course covers every major chart that Matplotlib is capable of providing. Some of the less popular charts are not included. By the time a student is done with this series, they should be able to visualize just about any data set with ease, as well as make it look visually appealing. This course is taught step by step throughout the entire course. There is no written line that is not covered, so students will not be left trying to decypher lines of code. Topics and charts included are: Line graphs, scatter plots, stack plots, pie charts, bar charts, 3D lines, 3D wire_frames, 3D bar charts, 3D scatter plots, geographic maps, live updating graphs, and managing multiple graphs on the same figure / combining graphs.
What are the requirements?

Students should be comfortable with the basics of the Python 3 programming language
Python 3 should be already installed, and students should already know how open IDLE or their own favorite editor to write programs in.

What am I going to get from this course?

Over 58 lectures and 6 hours of content!
Visualize multiple forms of both 2D and 3D graphs, like line graphs, scatter plots, bar charts, and more
Load data from files or from internet sources for data visualization.
Create live graphs
Customize graphs, modifying colors, lines, fonts, and more. 5. Visualize Geographical data on maps

What is the target audience?

Students should not take this course without a basic understanding of Python.
Students seeking to learn a variety of ways to visually display data
Students who seek to gain a deep understanding of options for visualizing data.
Students should not take this course if they are only looking for a brief summary of how to quickly display data.