Research Catalog

Title

Python for Data Visualization. with Madecraft and Michael Galarnyk

Author

, Madecraft

Publication

Carpenteria, CA linkedin.com, 2019.

Supplementary Content

LinkedIn Learning login page accessible with a valid library card and PIN

Items in the Library & Off-site

Holdings

Details

Additional Authors

• Galarnyk, Michael
• linkedin.com (Firm)

Summary

• Build accurate, engaging, and easy-to-generate data visualizations using the popular programming language Python.
• 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.

Genre/Form

Instructional and educational works.

Note

• 11/01/201912:00:00AM

Performer (note)

• Presenter: Madecraft

System Details (note)

• Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

OCLC

LDC2243054

Author

, Madecraft, speaker.

Title

Python for Data Visualization. with Madecraft and Michael Galarnyk

Publisher

Carpenteria, CA linkedin.com, 2019.

Playing Time

01h:21m:28s

Type of Medium

computer

Type of Carrier

online resource

Cast

Presenter: Madecraft

System Details

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Connect to:

LinkedIn Learning login page accessible with a valid library card and PIN

thumbnail

Added Author

Galarnyk, Michael, speaker.

linkedin.com (Firm)

Branch Call Number

eLEARN