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Introduction to Quantitative Social Science with Python (Chapman & Hall/CRC The Python Series)

By: Dmitry Zinoviev (Author) , Weiqi Zhang (Author)

Manufacture on Demand

Ksh 35,450.00

Format: Hardback or Cased Book

ISBN-10: 1032354607

ISBN-13: 9781032354606

Collection / Series: Chapman & Hall/CRC The Python Series

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 1st, 2024

Publication Status: Active

Product extent: 332 Pages

Weight: 453.00 grams

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  • Description

  • Reviews

Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python.

Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels. Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python.

Emphasizing the practical relevance of data analysis in today''s world, the book equips readers with essential skills for success in the field. By advocating for the use of Python, an open-source and versatile programming language, we break down financial barriers and empower a diverse range of learners to access the tools they need to excel.

Whether you''re a novice seeking to grasp the foundational concepts of data analysis or a seasoned professional looking to enhance your programming skills, this book offers a comprehensive and accessible guide to mastering the art and science of data analysis in social science research.

Key Features:

  • Dual-track learning: Offers both Executive and Technical Tracks, catering to readers with varying levels of conceptual and technical proficiency in data analysis.
  • Includes comprehensive quantitative methodologies for quantitative social science studies.
  • Seamless integration: Interconnects key concepts between tracks, ensuring a smooth transition from theory to practical implementation for a comprehensive learning experience.
  • Emphasis on Python: Focuses on Python programming language, leveraging its accessibility, versatility, and extensive online support to equip readers with valuable data analysis skills applicable across diverse domains.

Get Introduction to Quantitative Social Science with Python by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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