Analyzing Social Media Data in Python

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Twitter hosts hundreds of millions of messages every day. It is used by people all over the world to discuss politics, entertainment and business. You can quickly access thousands to thousands of messages from this stream in just minutes. This course will show you how to analyze Twitter tweets and networks. This course also shows you how to determine the origin of tweets. It will use datasets about tech companies, data science hashtags and the 2018 State of the Union speech. This will enable you to make informed political and business decisions. It will identify the importance of topics and the geographic reach and diversity of discussion networks.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

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

Course Instructors

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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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