Exploring Financial Analysis with Python and Machine Learning

This course offers a comprehensive introduction to financial analysis through the lens of Python and machine learning. Participants will delve into current financial analysis methodologies, gaining hands-on exposure to technical and fundamental analyses. Through a series of well-structured lessons, you’ll familiarize yourself with Python’s powerful libraries and capabilities.

You’ll begin the journey by mastering the art of downloading and preparing financial data for in-depth modeling and analysis. As you progress, you will investigate statistical properties of asset prices and returns while uncovering significant market trends through popular indicators like MACD and RSI. Backtesting automated trading strategies will solidify your understanding of how these metrics can inform trading decisions.

The latter sections will engage you in time series analysis, encompassing models such as ARIMA and GARCH, and exploring advanced topics like Monte Carlo simulations for option pricing and risk assessment. Concluding with a data science project focused on credit card fraud detection, you will harness advanced classifiers including LightGBM and XGBoost to tackle real-world problems, equipping you with the skills to navigate the evolving financial landscape.

What you will learn:

• You will be able to use the functions provided to download financial data from a number of sources and preprocess it for further analysis
• You will be able to draw some insights into patterns emerging from a selection of the most commonly used metrics (such as MACD and RSI)
• Introduces the basics of time series modeling. Then, we look at exponential smoothing methods and ARIMA class models.

Course Content:

• Sections: 10
• Lectures: 83
• Duration: 20h 17m

Requirements:

• Statistics
• Basic Python

Who is it for?

• Developers
• Financial Analysts
• Data Analysts
• Data Scientists
• Stock and cryptocurrency traders
• Students
• Teachers
• Researchers

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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