Description
| Product ID: | 9781529707489 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | From Social Science to Data Science |
| Subtitle: | Key Data Collection and Analysis Skills in Python |
| Authors: | Author: Bernie Hogan |
| Page Count: | 400 |
| Subjects: | Research methods: general, Research methods: general |
| Description: | Built around the entire research process with a main focus on ethics, this book equips you with scaling up your skills to successfully conduct a computation social science research project with Python. 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 of 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 of key data collection and skills in Python. |
| Imprint Name: | Sage Publications Ltd |
| Publisher Name: | Sage Publications Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-12-21 |
