OFF
DevelopmentFinancial Analysis
Financial Engineering and Artificial Intelligence in Python
★4.8
(12,186 students)22h 30m
>_ 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
>_ Requirements
- Decent Python coding skills
- Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)
- Matrix arithmetic
- Probability
/ Course Details & Curriculum
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 cover must-know topics in financial engineering, such as:
- Exploratory data analysis, significance testing, correlations, alpha and beta
- Time series analysis, simple moving average, exponentially-weighted moving average
- Holt-Winters exponential smoothing model
- ARIMA and SARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Time series forecasting ("stock price prediction")
- Modern portfolio theory
- Efficient frontier / Markowitz bullet
- Mean-variance optimization
- Maximizing the Sharpe ratio
- Convex optimization with Linear Programming and Quadratic Programming
- Capital Asset Pricing Model (CAPM)
- Algorithmic trading (VIP only)
- Statistical Factor Models (VIP only)
- Regime Detection with Hidden Markov Models (VIP only)
- Regression models
- Classification models
- Unsupervised learning
- Reinforcement learning and Q-learning
***VIP-only sections (get it while it lasts!) ***
- Algorithmic trading (trend-following, machine learning, and Q-learning-based strategies)
- Statistical factor models
- Regime detection and modeling volatility clustering with HMMs
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.
Thanks for reading, I will see you in class!
Suggested Prerequisites:
- Matrix arithmetic
- Probability
- Decent Python coding skills
- Numpy, Matplotlib, Scipy, and Pandas (I teach this for free, no excuses!)
WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:
- Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)
UNIQUE FEATURES
- Every line of code explained in detail - email me any time if you disagree
- No wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratch
- Not afraid of university-level math - get important details about algorithms that other courses leave out
Author and Instructor
L
Lazy Programmer Team, Lazy Programmer Inc.
Expert at Udemy
With years of hands-on experience in Development, Lazy Programmer Team, Lazy Programmer Inc. has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
★★★★★
M
Michael Chen
Verified Enrollment
"This Financial Engineering and Artificial Intelligence in Python course was exactly what I needed. The instructor explains complex Development concepts clearly. Highly recommended!"
S
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on Python programming & back-end development, but this one stands out. The practical examples helped me land a job."
D
David Smith
Verified Enrollment
"Great value for money. The section on Financial Analysis was particularly helpful."
E
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in Development thanks to this course. Lifetime access is a huge plus."
Common Questions
Is the "Financial Engineering and Artificial Intelligence in Python" course truly discounted?
Yes. By utilizing our verified 90% coupon, you can enroll in "Financial Engineering and Artificial Intelligence in Python" at a massive discount. This grants you lifetime access to all course materials and updates.
Do I qualify for a certificate upon completion?
Yes. When you enroll with a 90% coupon provided by CoursesWyn, you follow the same path as a paid student and are eligible for the official completion certificate from Udemy.
What happens if the coupon code expires?
Udemy coupons have strict enrollment limits and time windows. If this code expires, we recommend bookmarking this page and checking back daily, as we refresh our deals constantly to find the latest active discounts.
$109.99Save 90%
$10.99
Verified Discount Code
✨Lifetime Access
🏆Official Certificate
📱Access on Mobile/TV
🔄Latest Updated Course
Claim Your Discount Code
XXXXXXXX
CLICK TO SHOW
REVEAL & COPY
$109.99
$10.9990%