000			a
999			_c34008 _d34008
008			250612b xxu||||| |||| 00| 0 eng d
020			_a9781529707489
082			_a300.72 _bHOG
100			_aHogan, Bernie
245			_aFrom social science to data science
260			_bSage Publication, _c2023 _aLos Angeles :
300			_axxxiv, 361 p. ; _bill., (chiefly col.), _c24 cm
365			_b42.99 _c£ _d117.50
504			_aIncludes bibliographical references and index.
520			_aFrom Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python. From beginning to end, this book will enable you to understand merging, accessing, cleaning and interpreting data whilst gaining a deeper understanding into computational techniques and seeing the bigger picture. With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis on key data collection and skills in Python.
650			_aQuantitative statistical research
650			_aDataFrame
650			_aExpectations versus Observations
650			_aCleaning Data
650			_aTime Series Data
650			_aGeographic Information Systems
942			_2ddc _cBK