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Data Analytics for Finance Using Python
Engelsk
Bogcover for Data Analytics for Finance Using Python af Nitin Jaglal Untwal, Utku Kose, 9781032618234
Specifikationer
Sprog:
Engelsk
Sider:
121
ISBN-13:
9781032618234
Indbinding:
Paperback
ISBN-10:
103261823X
Udg. Dato:
30 dec 2024
Størrelse i cm:
23,3 x 15,6 x 1,0
Serie:
Advances in Digital Technologies for Smart Applications
Oplagsdato:
30 dec 2024

Data Analytics for Finance Using Python

Engelsk
Paperback 2024
Format:

Bog beskrivelse

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.

In this book, you’ll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.

Through real-world case studies and examples, you’ll learn how to:

  • Uncover hidden patterns and trends in financial data
  • Build predictive models that drive investment decisions
  • Optimize portfolio performance using data-driven insights
  • Stay ahead of the competition with cutting-edge data analytics techniques

Whether you’re a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.

This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics.

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Specifikationer
Sprog:
Engelsk
Sider:
121
ISBN-13:
9781032618234
Indbinding:
Paperback
ISBN-10:
103261823X
Udg. Dato:
30 dec 2024
Størrelse i cm:
23,3 x 15,6 x 1,0
Serie:
Advances in Digital Technologies for Smart Applications
Oplagsdato:
30 dec 2024
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