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Financial Data Analysis Using Python by D. Zherlitsyn (.ePUB)+

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📮 Financial Data Analysis Using Python by D. Zherlitsyn (.ePUB)+

This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other Data Science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.

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♻️ Book's Info:

Author

D. Zherlitsyn

Size

38.9MB

Category

Non-Fiction > Tech & Devices

File Type

ePUB

📥 Download Links:

https://uploda.sh/eoYGrvcgB3uq

https://devuploads.com/p66o476u7bk2

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