Udemy - Comprehensive Data visualization with Matplotlib in Python

[ DevCourseWeb.com ] Comprehensive Data visualization with Matplotlib in Python



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 33 lectures (4h 6m) | Size: 1.17 GB

From beginner to expert in Data Visualization using Matplotlib in Python | Able to visualize any type of data in Python

What you'll learn:

Get closer understanding of Matplotlib Library and how to use it efficiently

Learn about Pyplot an essential component as well as labels, axis, lines, markers, grids, legends and customizing all of them as per the need.

Learn about Scatter plot and Categorical data plotting

Working with Figure and subplot to plot multiple data together at one place for better visualization

Learn to plot most commonly used plots such as histogram, bar chart, stacked bar chart, Pie chart and surface plot for 3D data visualization and more

Learn to plot non-linear data using logarithmic plot, polar plots, symlog

Time-series data analysis of finance data like currency exchange rates

Learn to work with Images and Audio files with Matplotlib



Requirements

Elementary knowledge of Python syntax

Logical thinking and visualizing ability

Willingness to learn and explore



Description

Hello, and welcome to the course on “Comprehensive Data visualization with Matplotlib in Python”. This course has been designed keeping in mind the working professionals, students and even hobbyist, who wanted to get meaningful information from the data and take appropriate action.



This course contains Quizzes and assignments, which will help you to evaluate your learning periodically. Python code for each module is included with this course as well, you can download them as base code and you can fully customize it.



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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