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Analyzing Social Media Data in Python
4.9(32)24k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate Python course explores how to harvest and analyze social media streams to inform business and political strategies. Using datasets from tech companies, popular hashtags, and public speeches, learners evaluate tweet text, network structures, and geographical trends.
Who It's For
Data analysts and Python developers who want to extract insights from Twitter streams, conduct sentiment and network analysis, and evaluate spatial data.
Key Takeaways
- Data Collection & Text Mining: Learn to collect Twitter data and analyze tweet text to uncover dominant discussion topics.
- Network & Geographical Analysis: Examine discussion networks and map the geographical origin and reach of social media posts.
- Strategic Decision Support: Apply text mining and network metrics to inform business strategy, political analysis, and market research.
About this course
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.
Price
Free
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