Summer Course in Mining Culture Through Text Data: Introduction to Social Data Science
Stanford University Summer Session
About this program
Summer Course in Mining Culture Through Text Data: Introduction to Social Data Science
Data science and machine learning have rapidly gained recognition within the social sciences because they offer powerful new ways to ask questions about social and cultural issues. This course will examine how data science has revolutionized how social scientists study culture by providing new tools to analyze patterns in text data in different contexts and at different scales. More specifically, we will explore how these tools can be used to mine the meaning of text from sources such as social media, transcripts of political debates, books, press releases, surveys, and more. This is a hands-on, interactive course culminating in a social data science project designed by the student or a team of students. Most class sessions will be taught interactively using Jupyter Notebooks. Students will follow along with workshop-style lectures by using and modifying the provided Python code in real time to analyze data and visualize results.
Admission requirements
Undergraduate Students
Domestic and International Students
To be eligible to apply, you must:
- Be at least 18 years of age by the start of the program.
- Have graduated from high school or secondary school or equivalent.
- Be a current university student or have some university or post-secondary experience.
- INTERNATIONAL STUDENTS: Be able to verify fluency in the English language, using one of the methods described in the English Language Proficiency section on the International Students page.
Graduate Students
Domestic and International Students
To be eligible to apply, you must:
- Be at least 18 years of age at the start of the program.
- Have graduated or have completed your requirements from your university or post-secondary institution.
- INTERNATIONAL STUDENTS: Be able to verify fluency in the English language, using one of the methods described in the English Language Proficiency section on the International Students page.
High School Students
Domestic and International Students
To be eligible to apply, you must:
- Be a current sophomore, junior, or senior at the time of application.
- Be at least 16 at the start of the program, June 24, 2023, and no more than 19 by the last day, August 20, 2023. There are no exceptions to these age restrictions.
- Not be matriculating into Stanford as a first year.
- INTERNATIONAL STUDENTS: Be able to verify fluency in the English language, using one of the methods described in the English Language Proficiency section on the International Students page.
For more information about admission requirements, please visit the institute website.
Does this course require proof of English proficiency?
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Learn moreProgram content
The course will cover such topics as gender and racial/ethnic stereotypes, workplace discrimination, climate change, and lifestyles. Students will learn to explore text data with techniques such as word embeddings, topic models, and sentiment analysis, to visualize their results, and to scrape the web (where and when appropriate). Students will gain experience with base Python and tools from libraries useful for data science such as Empath, Gensim, NumPy, Pandas, Scikit-learn, and spaCy.
Tuition
Tuition fees : $3,699.00
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Stanford University Summer Session
Join a global community of students at one of the world’s leading institutions of research and learning. As the only opportunity to study abroad at Stanford University, Summer Session helps students take on challenging academics for college credit while balancing...
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Stanford University Summer Session
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