Analyzing Social Media Data in Python

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
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4 Hours14 Videos51 Exercises14,159 Learners
4000 XP

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Course Description

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.

  1. 1

    Basics of Analyzing Twitter Data

    Why analyze Twitter, how to access Twitter APIs, and understanding Twitter JSON.
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  2. 2

    Processing Twitter text

    How to process Twitter text.
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  3. 3

    Twitter Networks

    Network analysis with Twitter data.
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  4. 4

    Putting Twitter data on the map

    How to map Twitter data.
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In the following tracks
Marketing Analytics
David CamposGreg WilsonKara WooEunkyung ParkShon Inouye
Alex Hanna Headshot

Alex Hanna

Computational Social Scientist
Alex Hanna is a computational social scientist working in the areas of politics, natural language processing, and fairness in machine learning and artificial intelligence.
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