The course, "Introduction to Social Computing" offers a comprehensive exploration of the intersection between technology and society, equipping learners with essential skills in social media analytics and influence. By covering a range of topics from data pre-processing to feature extraction and model evaluation, students will gain practical experience in applying machine learning techniques to real-world social media scenarios.

Introduction to Social Computing

Introduction to Social Computing
This course is part of Social Computing Specialization

Instructor: Ian McCulloh
Access provided by Agthia
Recommended experience
What you'll learn
Understand the basics of social computing and its relationship with social media and analytics.
Analyze how social media influences communication, behavior, and societal interactions.
Recognize how cognitive biases affect online behavior and the spread of information.
Explore how gamification enhances user motivation and improves social computing applications.
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There are 5 modules in this course
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