Franklin

Python for Data Science Essential Training Part 1/ with Lillian Pierson, P.E.

Author/Creator:
Pierson, P.E., Lillian speaker.
Publication:
Carpenteria, CA:: linkedin.com, 2019.
Format/Description:
Video
1 online resource
Form/Genre:
Instructional films.
Educational films.
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.
Summary:
Learn Python programming for data science. Discover how to clean, transform, analyze, and visualize data, as you build a practical project: an automated web scraper.
Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts?for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library. You should walk away from this training with basic coding experience that you can take to your organization and quickly apply to your own custom data science projects.
Participant:
Presenter: Lillian Pierson, P.E.
Notes:
10/24/20191
Contributor:
linkedin.com (Firm)
Access Restriction:
Restricted for use by site license.
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