Using Python For Introductory Econometrics(1st Edition)
Authors:
Florian Heiss, Daniel Brunner
In Stock: 1 Left
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Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 979-8648436763
Book publisher: Independently Published
Book Price $0 : The book 'Using Python For Introductory Econometrics' by Florian Heiss and Daniel Brunner is an essential resource for economists and data scientists seeking to master econometric techniques through Python. This comprehensive guide serves as a bridge between econometric theory and practical data analysis, making it highly relevant for today’s data-driven world. Key themes include the implementation of econometric models using Python's robust libraries such as NumPy, SciPy, and Pandas. The book is structured to gradually introduce readers to essential econometrics concepts such as regression analysis, hypothesis testing, and time series forecasting. The inclusion of a detailed table of contents allows readers to easily navigate through topics and dive into sections that are most pertinent to their needs. Moreover, the book provides a detailed solution manual and an answer key which bolster the learning process, ensuring readers can verify their understanding and implementation of econometric models. Florian Heiss and Daniel Brunner have received recognition in academic circles for their ability to elucidate complex statistical methods in an accessible manner. The use of Python not only facilitates efficient data analysis but also integrates seamlessly into statistical workflows, making this book a must-have for students and professionals alike. Overall, the book has been well-received for modernizing econometric approaches using a programming language that is at the forefront of data science and analytics. The inclusion of a cheap guide makes mastering the subject easier than ever before.
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May 17, 2023