000			01865nam a22002177a 4500
003			OSt
005			20240529102119.0
008			240529b |||||||| |||| 00| 0 eng d
020			_a9781529707496
040			_cHuman Rights Violations Victims' Memorial Commission
050			_aHA 29
100			_aHogan, Bernie _eauthor
245			_aFrom social science to data science / _cBernie Hogan.
260			_aLos Angeles : _bSage Publications Ltd., _c2023.
300			_axxxiv, 361 pages : _billustrations ; _c24 cm.
500			_aIncludes bibliographical references and index.
520			_a"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."
650			_aSocial sciences--Research--Data processing.
650			_2Python (Computer program language).
942			_2lcc _cFOR _n0
999			_c2224 _d2224