 Название: Understanding Results with Python: 100 Drills for Data Analysis and Statistical Analysis
Автор: Tomoya Kanro, John Smith, Nishiyama Nana
Издательство: Independently published
Год: 2024
Страниц: 516
Язык: английский
Формат: epub
Размер: 13.3 MB
This eBook provides a comprehensive guide to mastering data analysis and statistical techniques using Python. It features 100 practical drills designed to enhance your skills through hands-on experience. Each drill is accompanied by visual results to help you understand the concepts better. Whether you are a beginner or looking to refine your expertise, this book serves as an invaluable resource. Dive into the world of data with clear explanations and actionable insights. Perfect for students, professionals, and anyone interested in Data Science.
This ebook is designed for those who already have a basic understanding of programming and are looking to deepen their skills in Python for data analysis and statistical computation through hands-on practice.
By running the provided source code, you can gain a more profound understanding of the concepts. Each exercise is presented with both the source code and the corresponding output, ensuring a comprehensive learning experience. Through this structured approach, you’ll not only reinforce your existing knowledge but also develop new insights into Python’s capabilities for data analysis.
Unlock the potential of Python in data analysis today! Start your journey towards becoming a data expert with this essential guide. Transform your understanding of data through practical application and visual learning.
Скачать Understanding Results with Python: 100 Drills for Data Analysis and Statistical Analysis
Start your journey towards becoming a data expert with this essential guide. Transform your understanding of data through practical application and visual learning.
Скачать Understanding Results with Python: 100 Drills for Data Analysis and Statistical Analysis
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Understanding Results with Python: 100 Drills for Data Analysis and Statistical Analysis 
