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💹 Data Analytics for Finance Using Python (2025) – Master Financial Data with AI & Python Tools

📘 By Nitin Jaglal Untwal & Utku Kose | Published by CRC Press

📥 DOWNLOAD Free PDF NOW

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🚀 Why This Book Matters

In the data-driven finance world, professionals who can combine financial knowledge with Python analytics are in high demand.

“Data Analytics for Finance Using Python” is designed to teach you how to harness Python libraries, machine learning models, and financial datasets to build smarter trading, investment, and risk management strategies.

Whether you’re a finance student, data analyst, or portfolio manager, this book bridges the gap between theory and hands-on coding.

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📊 What You’ll Learn

✅ Foundations of Python for Finance

• Set up your Python environment for finance
• Work with NumPy, Pandas, Matplotlib, Seaborn
• Import, clean, and structure financial datasets

💹 Financial Analytics Applications

• Time series analysis (stock prices, indices, exchange rates)
• Portfolio optimization with Python
• Risk metrics: Value at Risk (VaR), Sharpe Ratio, volatility modeling
• Building algorithmic trading strategies

🤖 AI & ML for Finance

• Predict stock trends with machine learning models
• Use regression, clustering, and classification on market data
• Explore deep learning for financial forecasting
• Apply Natural Language Processing (NLP) for sentiment analysis of news & social media

📈 Practical Case Studies

• Equity market prediction
• Credit risk analytics
• Options pricing & derivatives
• FinTech data pipelines with Python

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👨‍💻 Who Should Read This Book?

✅ Finance students and MBA candidates
✅ Data analysts entering the FinTech space
✅ Portfolio managers & risk analysts
✅ Developers wanting to specialize in quantitative finance
✅ Researchers exploring AI in finance

🧩 Requires basic Python knowledge and finance fundamentals — then builds up to advanced applications step by step.

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📚 Why Choose This Book

• ✅ Published by CRC Press – academic + professional credibility
• ✅ Covers finance theory + Python practice in one volume
• ✅ Real-world datasets & coding examples included
• ✅ Balances quantitative rigor with practical coding exercises
• ✅ Updated for the financial analytics landscape of 2025

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📥 Get Started with Python for Finance Today

📩 👉 CLICK TO DOWNLOAD “Data Analytics for Finance Using Python” – FREE PDF
🎯 Gain the skills to analyze, predict, and optimize financial outcomes with the power of Python.

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📌 Finance runs on data. This book shows you how to make data work for you — with Python.

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