Data Analytics for Finance Using Python (Advances in Digital Technologies for Smart Applications) by Nitin Jaglal Untwal, Utku Kose
English | December 30, 2024 | ISBN: 103261823X | 138 pages | MOBI | 7.02 Mb
English | December 30, 2024 | ISBN: 103261823X | 138 pages | MOBI | 7.02 Mb
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
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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