Bernie Hogan
From Social Science to Data Science: Key Data Collection and Analysis Skills in Python
From Social Science to Data Science: Key Data Collection and Analysis Skills in Python
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This book is a must-read for anyone looking to expand their programming skills in Python and gain a deeper understanding of computational techniques.
The book "From Social Science to Data Science" is a comprehensive guide to scaling up and advancing programming skills in Python. It covers merging, accessing, cleaning, and interpreting data, as well as computational techniques, and provides a clear and concise analysis of key data collection and skills.
Format: Paperback / softback
Length: 400 pages
Publication date: 21 December 2022
Publisher: SAGE Publications Ltd
This book is a comprehensive guide to scaling up and advancing your programming skills in Python. It covers everything from the basics of merging, accessing, cleaning, and interpreting data to more advanced computational techniques and understanding the bigger picture.
The author, Hogan, presents the material in a clear and concise manner, with key features such as tables, figures, step-by-step instructions, and explanations that provide a wider context. This makes it easier for readers to grasp the concepts and apply them to their own programming projects.
One of the standout features of this book is its emphasis on practical skills. Rather than just providing theoretical knowledge, Hogan focuses on teaching readers how to apply Python to real-world data analysis and processing tasks. This includes hands-on exercises and examples that help readers build their skills and confidence in using Python for data science.
Whether you are a beginner looking to learn Python or an experienced programmer looking to expand your skills, this book is an excellent resource. It covers a wide range of topics and provides a solid foundation for anyone who wants to become a proficient Python programmer.
In conclusion, "From Social Science to Data Science" is a must-read for anyone who wants to scale up and advance their programming skills in Python. With its comprehensive coverage of key data collection and skills, practical examples, and emphasis on practical skills, this book is an excellent resource for beginners and experienced programmers alike. I highly recommend it to anyone who wants to become a proficient Python programmer.
Weight: 740g
Dimension: 242 x 170 (mm)
ISBN-13: 9781529707489
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