Course Overview

This course provides an overview of the current opportunities and reach of computational social science. These days, everything has a digital footprint. It can be the services we use daily, the hidden influence of government agencies, social and political movements, etc. Computational social science can teach you tools to understand this type of complicated social phenomenon. This course will basically elaborate on three main questions.

These are:

• Why is computational social science needed at present?
• What does it cover?
• What are the examples of CSS?

Learning Outcomes

• Analyzing Digital Footprint: You will learn how to identify and analyze social patterns from datasets like social media, web traffic, and mobile data.
• Machine Learning: You will apply machine learning algorithms to forecast social actions and detect patterns.
• Network Analysis: You will learn how to analyze social networks to comprehend their impact, information diffusion, and community organization.
• Simulation: Computer simulations will be explained to help in solving the mysteries of social emergence.
• Data Visualization: You will be able to do data visualization on social data of audiences.

Requirements

• Basic knowledge of data science.
• A computer or laptop with internet connectivity.
• A flexible work schedule to dedicate to your studies.

Advantages of This Computational Social Science Methods Course

Enroll Free

Better Career Options:

Computational social science is in high demand these days, so a certificate can help you get a well-paying job in academia, government agencies, consulting firms, and tech companies.

Research Knowledge:

You can enhance research capabilities in fields such as public health, urban planning, political science, and organizational behavior.

Technical Skills:

As you will get practical knowledge and projects, you can easily create a portfolio from them and apply for jobs after the course

International Roles:

As you will learn how to analyze trends in different cultures and countries, you will be fit for jobs in international organizations, NGOs, and MNCs.

Relevance in Future:

Everything is getting digital these days, so computational social scientists will become more important in the future.

Professional Network:

You will interact with many other students and professionals from the same field, so you can build connections and learn together.