Python for Finance: Investment Fundamentals & Data Analytics — 93% Off Coupon
Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
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Course Title: Python for Finance: Investment Fundamentals & Data Analytics
Provider: Udemy (Listed via CoursesWyn)
Instructor: 365 Careers
Coupon Verified On: April 22, 2026
Difficulty Level: All Levels
Category: Finance & Accounting
Subcategory: Python
Duration: 9h 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: Learn how to code in Python · Take your career to the next level · Work with Python’s conditional statements, functions, sequences, and loops
Prerequisites: You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course · All software and data used in the course is free
Price: $11.99 with coupon / Regular Udemy price: $159.99. Applying this coupon saves you $148.00 (93% OFF).
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What You'll Learn
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Requirements
Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.
You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
All software and data used in the course is free
About This Course
Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.
- Rate of return of stocks
- Risk of stocks
- Rate of return of stock portfolios
- Risk of stock portfolios
- Correlation between stocks
- Covariance
- Diversifiable and non-diversifiable risk
- Regression analysis
- Alpha and Beta coefficients
- Measuring a regression’s explanatory power with R^2
- Markowitz Efficient frontier calculation
- Capital asset pricing model
- Sharpe ratio
- Multivariate regression analysis
- Monte Carlo simulations
- Using Monte Carlo in a Corporate Finance context
- Derivatives and type of derivatives
- Applying the Black Scholes formula
- Using Monte Carlo for options pricing
- Using Monte Carlo for stock pricing
- This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course.
- High-quality production – HD video and animations (this isn’t a collection of boring lectures!)
- Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics in real life and on Udemy.
- Complete training – we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)
- Extensive case studies that will help you reinforce everything you’ve learned.
- Course Challenge: Solve our exercises and make this course an interactive experience.
- Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day.
- Dynamic: We don’t want to waste your time! The instructors set a very good pace throughout the whole course.
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
365 Careers
Verified Architect
A global leader with specialized excellence in Finance & Accounting. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.
Course Comparison
Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.
| Feature Benchmarks | This Verified Offer | Global Standard |
|---|---|---|
| Cost Verification | FREE (100% Validated) | Fixed Subscription Fee |
| Enrollment Type | Professional Lifetime Access | Limited Time Ownership |
| Certification Award | Included with Access Code | Required Add-on Fee |
Expert Review
"After auditing the curriculum depth and verifying the live access protocol, Python for Finance: Investment Fundamentals & Data Analytics stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."
✅ Strategic Advantages
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Official Certificate: Credential generated at no cost.
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Mobile Friendly: Full access via smart TV & mobile.
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Expert Pacing: Modular design for professional schedules.
❌ Considerations
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Technical Depth: Requires focused 10+ hours study.
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Tool Prep: Certain labs require proprietary software setups.
Course Rating
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Frequently Asked Questions
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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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