Step-by-step programming guidance for social science research enables users to develop coding skills from scratch
Covers Python fundamentals and advanced topics such as data visualization, social media data analysis, and web scraping for real-world research applications
Includes code examples, screenshots, and sample data sources to support hands-on learning
Focuses on ethical research design and best practices in programming for social science
Practice-led approach encourages active learning and application of Python skills in research
Summarized by Shop
As data become 'big', fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implement
Book Cover Type
Paperback
Genre
Education, Technology
Language Version
English
Target Audience
Suitable for all ages, Adults
Table of Contents
Introduction, Core Concepts, Structuring Objects, Building Better Code, Classes, Data Collection, Data Decoding, Data Collection via APIs, Data Encoding, Data Collection via Web Scraping, Data Visualization, Conclusion