Analyzing Social Media Data in Python

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.

In the following tracks

Marketing Analytics

Datasets

Data Science Hashtag datasetState of the Union Reply Network datasetState of the Union Retweet Networking dataset

Collaborators

David CamposGreg WilsonKara WooEunkyung ParkShon Inouye

Prerequisites

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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