From Social Science to Data Science Key Data Collection and Analysis Skills in Python

"Built around the entire research process, 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 defining a research question, together with coding and data science techniques, such as data 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. Showcases a diverse range of social data examples from across the web like Twitter, Wikipedia and Reddit. Focuses on the role of the researcher, covering central social research considerations like ethics in detail. 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"--