Jose Mary 
Financial Engineering and Artificial Intelligence in Python Udemy Coupon Code by Lazy Programmer Team with 21.5 hours on-demand video course tutorials. Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!
Financial Engineering Course Overview
Course Description
Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering? Today, you can stop imagining and start doing. This course will teach you the core fundamentals of financial engineering, with a machine learning twist.
We will learn about the greatest flub made in the past decade by marketers posing as “machine learning experts” who promise to teach unsuspecting students how to “predict stock prices with LSTMs”. You will learn exactly why their methodology is fundamentally flawed and why their results are complete nonsense. It is a lesson in how not to apply AI in finance.
As the author of ~30 courses in machine learning, deep learning, data science, and artificial intelligence, I couldn’t help but wander into the vast and complex world of financial engineering. This course is for anyone who loves finance or artificial intelligence, and especially if you love both! Whether you are a student, a professional, or someone who wants to advance their career – this course is for you.
What you’ll learn
- Forecasting stock prices and stock returns
- Time series analysis
- Holt-Winters exponential smoothing model
- ARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Exploratory data analysis
- Alpha and Beta
- Distributions and correlations of stock returns
- Modern portfolio theory
- Mean-Variance Optimization
- Efficient frontier, Sharpe ratio, Tangency portfolio
- CAPM (Capital Asset Pricing Model)
- Q-Learning for Algorithmic Trading
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Course Reviews
This course offers a comprehensive and well-structured introduction to Financial Engineering. the instructor, brings a wealth of expertise in Programming, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Financial Engineering and Artificial Intelligence in Python, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, the instructor explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Financial Engineering and Artificial Intelligence in Python to anyone looking to learn Financial Engineering. This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
Course Rating
