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Data Analytics for Finance Using Python (Advances in Digital Technologies for Smart Applications)

By: Nitin Jaglal Untwal (Author) , Utku Kose (Author)

Manufacture on Demand

Ksh 27,850.00

Format: Hardback or Cased Book

ISBN-10: 1032618213

ISBN-13: 9781032618210

Collection / Series: Advances in Digital Technologies for Smart Applications

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 30th, 2024

Publication Status: Active

Product extent: 121 Pages

Weight: 453.00 grams

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  • Description

  • Reviews

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.

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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