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From social science to data science

By: Hogan, Bernie.
Publisher: Los Angeles : Sage Publication, 2023Description: xxxiv, 361 p. ; ill., (chiefly col.), 24 cm.ISBN: 9781529707489.Subject(s): Quantitative statistical research | DataFrame | Expectations versus Observations | Cleaning Data | Time Series Data | Geographic Information SystemsDDC classification: 300.72 Summary: From 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.
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300.72 HOG (Browse shelf) Available 035549

Includes bibliographical references and index.

From 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.

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