Programming with Python for Social Scientists

This course introduces social scientists to the power of programming, focusing on using Python to enhance social science research. Learn to write code that aids data collection, analysis, and visualization, applying it to real-world social science problems. Through practical coding exercises, you’ll gain the skills to structure and manage data, build useful objects, and work with APIs and web scraping tools. You will also delve into research-specific applications such as text file manipulation and social media data collection. What makes this course stand out is its unique approach—blending theory with hands-on practice, using Python as a tool for data-driven social science research. You’ll be equipped with the skills to turn programming knowledge into actionable insights for social science work. This course is ideal for social scientists, researchers, and students looking to improve their coding and data handling skills. A basic understanding of social science research and programming concepts will be beneficial but not mandatory. This course is based on the book, Programming with Python for Social Scientists, by Phillip D. Brooker. Copyright ©2020 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.