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Analyzing Social Media Data in Python

via Datacamp

Overview

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Twitter produces hundreds of million messages per day, with people around the world discussing sports, politics, business, and entertainment. You can access thousands of messages flowing in this stream in a matter of minutes. In this course, you will learn how to collect Twitter data and analyze tweet text, Twitter networks, and the geographical origin of the tweet. We'll be doing this with datasets on tech companies, data science hashtags, and the 2018 State of the Union address. Using these methods, you will be able to inform business and political decision-making by discovering the prevalence of important topics, the diversity of discussion networks, and a topic's geographical reach.

Syllabus

Basics of Analyzing Twitter Data
-Why analyze Twitter, how to access Twitter APIs, and understanding Twitter JSON.

Processing Twitter text
-How to process Twitter text.

Twitter Networks
-Network analysis with Twitter data.

Putting Twitter data on the map
-How to map Twitter data.

Taught by

Alex Hanna

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