Get Financial Engineering and Artificial Intelligence in Python with 90% OFF Udemy Coupon
Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!.
Key Takeaways — Course Overview
The following summarizes all verified data points for Financial Engineering and Artificial Intelligence in Python, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .
Course Title: Financial Engineering and Artificial Intelligence in Python
Platform: Udemy (listed via CoursesWyn)
Instructor: Lazy Programmer Team, Lazy Programmer Inc.
Coupon Verified:
Difficulty Level: All Levels
Category: Development
Subcategory: Financial Analysis
Duration: 22h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
Top Learning Outcomes: Students who complete Financial Engineering and Artificial Intelligence in Python will be able to: Forecasting stock prices and stock returns · Time series analysis · Holt-Winters exponential smoothing model
Prerequisites: Decent Python coding skills
Price: $10.99 with coupon / Regular Udemy price: $109.99. Applying this coupon saves you $99.00 (90% OFF).
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What You'll Learn
Completing Financial Engineering and Artificial Intelligence in Python gives you the following verified skills and competencies in Development:
- 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
The following background knowledge and tools are recommended before starting Financial Engineering and Artificial Intelligence in Python. Students without these prerequisites may still enroll but should expect a steeper learning curve.
- Decent Python coding skills
- Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)
- Matrix arithmetic
- Probability
About This Udemy Course
The following is the full official course description for Financial Engineering and Artificial Intelligence in Python as published on Udemy by instructor Lazy Programmer Team, Lazy Programmer Inc.. It covers the curriculum structure, teaching methodology, and topic scope for this Development course.
- 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
- Algorithmic trading (trend-following, machine learning, and Q-learning-based strategies)
- Statistical factor models
- Regime detection and modeling volatility clustering with HMMs
- Matrix arithmetic
- Probability
- Decent Python coding skills
- Numpy, Matplotlib, Scipy, and Pandas (I teach this for free, no excuses!)
- Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)
- 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
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Compare Similar Courses
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Is This Course Worth It?
Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .
Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Financial Engineering and Artificial Intelligence in Python is a high-value resource for learners seeking to build skills in Development. Taught by Lazy Programmer Team, Lazy Programmer Inc. on Udemy, the 22h 30m course provides a structured progression from foundational concepts to advanced Financial Analysis techniques — making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $109.99 to $10.99, removing the primary financial barrier to enrollment.
What We Like (Pros)
The following advantages were identified:
- Verified 90% price reduction makes this course accessible on any budget.
- Aggregate student rating of 4.8 out of 5 indicates high satisfaction.
- Includes an official Udemy completion certificate and lifetime access.
Keep in Mind (Cons)
The following limitations should be considered:
- The depth of Financial Analysis coverage may be challenging for newcomers.
- Lifetime access is contingent on the Udemy platform's operation.
- Hands-on projects require additional time beyond video watch time.
"Given the 90% price reduction and verified 4.8-star rating, Financial Engineering and Artificial Intelligence in Python represents one of the strongest value propositions currently available in Development. Enrollment is recommended while this coupon remains active."
Course Rating Summary
Financial Engineering and Artificial Intelligence in Python holds an aggregate rating of 4.8 out of 5 based on 12,186 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.
4.8
12,186 Verified Ratings
* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .
Instructor Profile
The following section provides background information on Lazy Programmer Team, Lazy Programmer Inc., the instructor responsible for creating and maintaining Financial Engineering and Artificial Intelligence in Python on Udemy.
Financial Engineering and Artificial Intelligence in Python is taught by Lazy Programmer Team, Lazy Programmer Inc., a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.
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Instructor Name: Lazy Programmer Team, Lazy Programmer Inc.
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Subject Area: Development
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Teaching Approach: Practical, project-based instruction focused on real-world application of Financial Analysis skills.
Coupon Help Center
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Frequently Asked Questions
The following questions and answers cover the most common queries about Financial Engineering and Artificial Intelligence in Python, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of .
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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