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Analyzing Social Media Data in Python

IntermediateSkill Level
4.8+
30 reviews
Updated 01/2026
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
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PythonData Manipulation4 hr14 videos51 Exercises4,000 XP24,057Statement of Accomplishment

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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.

Prerequisites

Data Manipulation with pandas
1

Basics of Analyzing Twitter Data

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

Processing Twitter text

3

Twitter Networks

4

Putting Twitter data on the map

Analyzing Social Media Data in Python
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FAQs

What social media platform does this course focus on?

The course focuses on Twitter data. You will learn to collect tweets, analyze tweet text, study Twitter networks, and map the geographical origin of tweets.

What types of analysis will I perform on Twitter data?

You will process tweet text, build and analyze Twitter networks, and create geographical maps of tweet origins using datasets on tech companies and the 2018 State of the Union address.

Do I need experience with social media APIs?

No prior API experience is needed. The course teaches you how to access Twitter APIs and work with Twitter JSON data from scratch.

What Python libraries should I already know?

You should be comfortable with pandas and Intermediate Python. The course builds on data manipulation skills to apply them to social media datasets.

How could I apply these skills in a business or political context?

You can discover the prevalence of important topics, measure the diversity of discussion networks, and assess a topic's geographical reach to inform business or political decisions.

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