From social science to data science / Bernie Hogan.

Includes bibliographical references and index.

"Built around the entire research process with a focus on ethics, this book equips you with the skills you need to successfully conduct a computational social science research project with Python. It shows you how to draw elements of social research, such as constructing a research question, together with coding and collecting data through wrangling and visualisation.
Going beyond basic data science, it helps you take the next step into more advanced topics like time series analysis, natural language processing and social network analysis with confidence. Straightforward and practical, this book:
• Provides a set of techniques for capturing, cleaning, merging and presenting online data to help you develop best practice in your own research.
•Helps you access and extract APis while summarising important information.
Showcases a diverse range of social data examples from across the web including
Twitter, Wikipedia and Reddit. Accompanied by open access Jupyter notebooks and step-by-step coding instructions in Python, this book helps you scale up your existing skills to meet the demands of working with big data head on."