Online Course – Google Certified Professional Internship in Computational Social Sciences

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Independent data collection from websites
  • Social Network Analysis (SNA)
  • Finding hidden patterns using ML and NLP
  • Creating Agent-Based Models (ABM)

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Social science researcher
  • Machine learning algorithm developer
  • Natural Language Processing Expert
  • Information Technology Project Manager
  • Strategic consultant in the field of digital technologies
  • Social Networks Researcher
  • Computational model developer
  • Director of research in the field of human behavior

Internship – Series of 5 courses

For more details, you can watch the Computational Social Sciences Trailer .

Digital technology is not only revolutionizing society, but also the way we can learn about it. Today, it is being exploited by Silicon Valley companies, government agencies, and social movements. What they all have in common is the use of computational tools to understand and influence human behavior and social dynamics.

Some human interactions leave a huge digital footprint. Exploring this allows us to gain unprecedented insights into society, including complex social networks. Computational power allows us to uncover hidden patterns using tools like:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)

Computer simulations allow us to explore hypothetical situations to imagine a better world.

This specialization serves as a multidisciplinary guide to understanding society and human behavior using modern research tools. It is the first online training taught collaboratively by professors from all 10 campuses of the University of California.

Hands-on Learning Project

Although there are no formal requirements to join the course, at the end you will:

  • Independent data collection from websites
  • Social Network Analysis (SNA)
  • Finding hidden patterns using ML and NLP
  • Creating Agent-Based Models (ABM)

All this to explore what might happen if we changed certain things in society.

Details of the courses that make up the specialization

Computational Social Science Methods

Course 1: 11 hours

4.7 (334 ratings)

  • Explore the history and current challenges of social sciences in the digital age.
  • Set up a machine that will create a database that can be used for analysis.
  • Discuss what artificial intelligence (AI) is and train a machine.
  • Discover how social networks and human dynamics create identifiable social systems and patterns.

Course 2: 12 hours

4.6 (535 ratings)

  • Define and discuss the opportunities and limitations of big data.
  • Work with IBM Watson and analyze personality using natural language processing (NLP).
  • Explore how AI is used through case studies.
  • To examine and discuss the roles that ethics play in AI and big data.

Course 3: 10 hours

4.7 (230 ratings)

  • Define networks and discover the languages ​​the networks use.
  • Analyze a social network through data processing and network visualization.
  • Discuss what mechanisms produce networks.
  • Examine social network analysis through case studies.

Course 4: 12 hours

4.4 (80 ratings)

  • Computer simulations are used to explore the realm of what is theoretically possible.
  • We will explore how to make the world a better place using agent-based models.
  • Program a simple artificial society yourself.

Course 5: 13 hours

4.6 (37 ratings)

  • Collecting data from a social media site.
  • Analyze the collected data by visualizing the resulting networks.
  • Natural language processing powered by machine learning.
  • Using a computer simulation model to study possible mechanisms.

Congratulations! After doing all this yourself, you can consider yourself a budding computational social scientist!