Enroll Course: https://www.coursera.org/learn/css-capstone
The ‘Computational Social Science Capstone Project’ on Coursera is an exceptional course designed for students and professionals eager to harness data analysis to explore social phenomena. This course is the culminating experience of a specialization that equips learners with a robust skill set in multi-method workflows, including web scraping, social network analysis, natural language processing, and agent-based modeling.
Throughout the course, participants engage in hands-on projects that simulate real-life scenarios. Starting with web scraping data from YouTube channels, learners practice gathering digital footprints, subsequently analyzing these collections via social network analysis using Gephi. The course then advances into natural language processing, where students delve into sentiment and emotion analysis within comment sections utilizing IBM Watson’s NLP tools. The final milestone involves building agent-based models to simulate idea diffusion within societies, offering valuable insights into societal dynamics.
What makes this course stand out is its practical approach. It doesn’t just teach theory; it applies knowledge through a series of engaging, manageable milestones that culminate in a comprehensive project. The step-by-step method ensures learners grasp complex concepts and techniques, making this course suitable for those with a basic understanding of data analysis or programming.
I highly recommend this course to anyone interested in social science, data analysis, or digital humanities. Whether you’re a researcher, a student, or a curious professional, you’ll find the skills learned here invaluable for understanding and analyzing social data. Plus, the final project provides an excellent portfolio piece to showcase your new expertise. Dive in, and start your journey into the fascinating world of computational social science!
Enroll Course: https://www.coursera.org/learn/css-capstone