MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 1h 21m
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 249 MB

Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don't need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization. In this course from the experts at Madecraft, you can learn how to build accurate, engaging, and easy-to-generate charts and graphs using Python. Explore the pandas and Matplotlib libraries, and then discover how to load and clean data sets and create simple and advanced plots, including heatmaps, histograms, and subplots. Instructor Michael Galarnyk provides all the instruction you need to create professional data visualizations through programming.

This course was created by Madecraft. We are pleased to host this content in our library.

Topics include:

Basics operations in pandas
Loading data
Slicing and filtering data
Identifying and replacing missing data
Converting and exporting pandas DataFrames
Creating plots with Matplotlib
Using Matplotlib wrappers like Seaborn
Creating heatmaps, histograms, and subplots
[/i]Homepage
https://www.lynda.com/Python-tutorials/Python-Data-Visualization/2243054-2.html

[i]Screenshots