Hands-on Python for Finance
Learn data-driven algorithms for finance. Practical techniques to improve investment strategies and financial modeling. Boost your financial analysis skills!
Course Content
Hands-on Python for Finance is an intermediate-level Udemy course taught by Packt Publishing. It runs 5h 25m, is taught in English, and includes a certificate of completion. Learners rate it 4.0 out of 5 from 67 reviews, with 376 students enrolled. It is a paid course, first published March 2019.
Unlock the Power of Python for Quantitative Finance
Discover how to leverage Python for effective financial analysis and gain a comprehensive understanding of your financial timeline. This practical course is designed for both developers and quantitative analysts looking to apply Python in the world of quantitative finance.
You'll start with a solid foundation in Python fundamentals and its core data structures. Then, delve into powerful third-party libraries specifically tailored for analytical and visualization tasks. Learn to utilize these tools to gain actionable insights from your financial data.
The course provides a thorough overview of cash flow analysis across different time horizons. Master essential techniques including Time Series Evaluation and Forecasting. You'll also explore Linear Regression, Correlation, and the principles behind portfolio construction.
Gain hands-on experience with advanced risk management techniques, including the computation of Value at Risk (VaR). Finally, learn to simulate portfolio performance using Monte Carlo Simulation, a powerful class of computational algorithms used in derivatives and risk analytics. Develop a full-fledged Monte Carlo framework for simulating complex financial scenarios.
Through numerous practical examples, you'll build a robust skillset for quantitative finance applications.
About the Author:
Matthew Macarty brings over 15 years of experience teaching statistics, quantitative methods, information systems, and database design to graduate and undergraduate business students. He is currently an instructor at Bentley University.
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