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Computational Social Science Capstone Project
  • Level Professional
  • المدة 14 ساعات hours
  • الطبع بواسطة University of California, Davis
  • Offered by

عن

CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!

الوحدات

University of California Computational Social Science (UCCSS)

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    • 1 Readings
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  • What is this Specialization About?

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  • About UCCSS

Getting Started

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1 Videos

  • Culminating Project Introduction

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  • A Note From UC Davis

Milestone 1: Webscraping

    • 1 Discussion
    • 1 PeerReview
    • 1 Assignment
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1 Assignment

  • Web Scraping Assigned Task

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  • Integrative Lab: Webscraping

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  • Questions For Your Peers

Resources From Previous Courses

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  • Webscraping Lab How-To

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  • Welcome to Peer Review Assignments!

Integrative Lab: Social Network Analysis

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    • 1 PeerReview
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1 Peer Review

  • Integrative Lab: SNA

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  • Milestone 2: Integrative Lab: SNA Introduction

Resources From Previous Courses

    • 2 Readings
    • 1 Discussion
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1 Discussions

  • Questions For Your Peers

2 Readings

  • Social Network Analysis capstone: getting started
  • Social Network Analysis Lab Tutorial

Integrative Lab: NLP

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    • 1 Discussion
    • 1 PeerReview
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1 Peer Review

  • Integrative Lab: Natural Language Processing (NLP)

1 Discussions

  • Questions For Your Peers

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  • Milestone 3: NLP Introduction

Resources From Previous Courses

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    • 1 Readings
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2 Videos

  • Network Measures (Part 1)
  • Network Measures (Part 2)

1 Readings

  • Welcome to the Web Scraping Lab

Agent-Based Computer Simulations

    • 5 Videos
    • 1 Discussion
    • 1 PeerReview
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1 Peer Review

  • Integrative Lab: Agent Based Models (ABM)

1 Discussions

  • Questions For Your Peers

5 Videos

  • Milestone 4: Agent-Based Computer Simulations Introduction
  • One-Step Flow (Part 1)
  • One-Step Flow (Part 2)
  • Two-Step Flow
  • Convincing Messages

Milestone 5: Reflection

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    • 1 Discussion
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1 Discussions

  • Integrative Lab Discussion

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  • Course Summary

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The Computational Social Science Capstone Project is an advanced course in Data Science & AI, led by Coursera. Spanning 840 hours, it integrates skills like data scraping, network visualization, machine learning, and computer simulation. Ideal for professionals, the course culminates in a comprehensive project, showcasing a new approach to social science in the digital age. Available through a Starter subscription, it's perfect for those eager to apply multi-method workflows in computational social science.

Martin Hilbert
Instructor

Martin Hilbert