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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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
Basics of Analyzing Twitter Data
FreeWhy analyze Twitter, how to access Twitter APIs, and understanding Twitter JSON.
In the following tracks
Marketing AnalyticsDatasets
Data Science Hashtag datasetState of the Union Reply Network datasetState of the Union Retweet Networking dataset
David Campos
Greg Wilson
Kara Woo
Eunkyung Park
Shon InouyePrerequisites
Data Manipulation with pandas
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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Decision Science Analytics, USAA
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