From Social Science to Data Science: Key Data Collection and Analysis Skills in Python
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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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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.
Title: From Social Science to Data Science: Key Data Collection and Analysis Skills in Python
Author: Hogan, Bernie
ISBN: 9781529707489
Binding:
Publisher: SAGE Publications Ltd
Publication Date: 2022-12-21
Number of Pages: 400
Weight: 0.7396 kg
Excellent. The students will love I think. It reminds me a bit of a Andy Field's SPSS/R books, which the students have also loved in the past too. This one has that flavour but also pushes the analytics into the contemporary era with Python. I expect it will be a real success. -- Emma Uprichard
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