Introduction to Computational Tools and Techniques for Social Research
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01_Introduction
02_Unix-Bash
03_python-basics
04_python-intermediate
05_python_advanced
06_python-info-retrieval
07_APIs
08_webscraping
09_r-basics
10_r-data-analysis
11_r-visualization
12_text-analysis
13_GeoSpatial
14_qualtrics-mturk
15_Git
16_final-projects
99_Supplementary_Materials
.gitignore
A_Syllabus.md
B_Install.md
C_resources.md
D_Acknowledgments.md
README.md

README.md

Binder

PS239T

Introduction To Computational Tools And Techniques For Social Research

This course will provide graduate students the critical technical skills necessary to conduct research in computational social science and digital humanities, introducing them to the basic computer literacy, programming skills, and application knowledge that students need to be successful in further methods work.

The course is currently divided into two main sections: skills (with an emphasis on Python and R), and applications (e.g., webscraping and text analysis). The “skills” portion introduces students to basic computer literacy, terminologies, and programming languages - i.e. Bash, R, Python, and Git. The second part of the course provides students the opportunity to use the skills they learned in part 1 towards practical applications such as automated text analysis, geospatial analysis, data collection via APIs, webscraping, etc.

Please note that materials are still in development, and will be changing.

Contact

Creator: Rochelle Terman: rterman@berkeley.edu

Course Instructor Fall 2016: Rachel Bernhard: rbernhard@berkeley.edu