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CoursesDevelopmentPython and Machine Learning in Financial Analysis

Python and Machine Learning in Financial Analysis

Master new skills with expert-led instruction. Get 100% OFF with verified coupons and earn your certificate.

4.4
17,176 students
English
Python and Machine Learning in Financial Analysis
FREE$89.99
100% OFF
Enroll Now — It's Free!

Lifetime access • Certificate included

This course includes:

  • 📹0 mins on-demand video
  • 📄20 articles
  • 📥0 downloadable resources
  • 📱Access on mobile and TV
  • 🏆Certificate of completion
  • ♾️Full lifetime access
⏱️
0
Video Hours
📝
20
Articles
📁
0
Resources
⭐
4.4
Rating

📖About This Course

In this course, you will become familiar with a variety of up-to-date financial analysis content, as well as algorithms techniques of machine learning in the Python environment, where you can perform highly specialized financial analysis. You will get acquainted with technical and fundamental analysis and you will use different tools for your analysis. You will get acquainted with technical and fundamental analysis and you will use different tools for your analysis. You will learn the Python environment completely. You will also learn deep learning algorithms and artificial neural networks that can greatly enhance your financial analysis skills and expertise.This tutorial begins by exploring various ways of downloading financial data and preparing it for modeling. We check the basic statistical properties of asset prices and returns, and investigate the existence of so-called stylized facts. We then calculate popular indicators used in technical analysis (such as Bollinger Bands, Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI)) and backtest automatic trading strategies built on their basis.The next section introduces time series analysis and explores popular models such as exponential smoothing, AutoRegressive Integrated Moving Average (ARIMA), and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (including multivariate specifications). We also introduce you to factor models, including the famous Capital Asset Pricing Model (CAPM) and the Fama-French three-factor model. We end this section by demonstrating different ways to optimize asset allocation, and we use Monte Carlo simulations for tasks such as calculating the price of American options or estimating the Value at Risk (VaR).In the last part of the course, we carry out an entire data science project in the financial domain. We approach credit card fraud/default problems using advanced classifiers such as random forest, XGBoost, LightGBM, stacked models, and many more. We also tune the hyperparameters of the models (including Bayesian optimization) and handle class imbalance. We conclude the book by demonstrating how deep learning (using PyTorch) can solve numerous financial problems.

Python and Machine Learning in Financial Analysis - Free Udemy Course [100% Off Coupon Code]

Limited-Time Offer: This Development/Data Science Udemy course is now available completely free with our exclusive 100% discount coupon code. Originally priced at $89.99, you can enroll at zero cost and gain lifetime access to professional training. Don't miss this opportunity to master Python, machine learning, and financial analysis without spending a dime!

What You'll Learn in This Free Udemy Course

This comprehensive free online course on Udemy covers everything you need to become proficient in Python-based financial analysis and machine learning. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.

  • Master Python programming from scratch to build powerful financial analysis tools
  • Apply machine learning algorithms like random forest, XGBoost, and LightGBM to solve real financial problems
  • Perform technical analysis using Bollinger Bands, MACD, RSI, and other professional indicators
  • Conduct fundamental analysis with deep learning models and artificial neural networks
  • Build and backtest automated trading strategies for maximum profitability
  • Implement time series models including ARIMA, GARCH, and exponential smoothing
  • Solve credit card fraud detection using advanced classification techniques
  • Optimize asset allocation using Monte Carlo simulations and factor models
  • Calculate Value at Risk (VaR) and price American options with real-world applications
  • Complete an entire financial data science project from start to finish

Who Should Enroll in This Free Udemy Course?

This free certification course is perfect for anyone looking to break into the lucrative financial technology industry or enhance their existing skills. Here's who will benefit most from this no-cost training opportunity:

  • Aspiring data scientists wanting to specialize in financial technology and quantitative analysis
  • Finance professionals seeking to modernize their skillset with Python and machine learning
  • Career changers looking to enter the high-demand field of fintech and algorithmic trading
  • Investors and traders who want to build automated systems for better decision-making
  • Computer science students wanting practical applications of machine learning in finance
  • Business analysts aiming to add predictive modeling and statistical analysis to their toolkit
  • Anyone interested in learning how AI is transforming the financial industry
  • Professionals wanting a free certification course to boost their resume and LinkedIn profile

Meet Your Instructor

Learn from S. Emadedin Hashemi, an experienced industry veteran with a proven track record in financial technology and data science education. With thousands of satisfied students already trained, this instructor brings real-world expertise and practical insights to every lesson. Their teaching style combines technical depth with clear explanations, making complex financial concepts accessible to learners at all levels.

Course Details & What Makes This Free Udemy Course Special

With an impressive 4.47 rating and 13,785 students already enrolled, this Udemy free course has proven its value. The course includes 20 comprehensive lessons and X hours of video tutorials, all taught in English. What sets this free online course apart is its complete end-to-end approach to financial analysis, combining traditional methods with cutting-edge machine learning techniques. Upon completion, you'll receive a certificate to showcase on LinkedIn and your resume. Plus, with mobile access, you can learn anytime, anywhere—perfect for busy professionals. This Development course in the Data Science niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.

How to Get This Udemy Course for Free (100% Off)

Follow these simple steps to claim your free enrollment:

  1. Click the enrollment link to visit the Udemy course page
  2. Apply the coupon code: D58A37E02261536E5259 at checkout
  3. The price will drop from $89.99 to $0.00 (100% discount)
  4. Complete your free enrollment before November 19, 2025 at 5:44 PM UTC
  5. Start learning immediately with lifetime access

⚠️ Important: This free Udemy coupon code expires on November 19, 2025. The course will return to its regular $89.99 after this date, so enroll now while it's completely free. This is a legitimate, working coupon—no credit card required, no hidden fees, no trial periods. Once enrolled, the course is yours forever.

Why You Should Grab This Free Udemy Course Today

Here's why this free certification course is an opportunity you can't afford to miss: First, Python and machine learning skills in finance can lead to 6-figure salaries at top financial institutions and tech companies. Second, the fintech industry is growing exponentially, creating thousands of new job opportunities every year. Third, having hands-on experience with real financial data analysis and AI models makes you stand out in a competitive job market. Finally, this comprehensive training would normally cost hundreds of dollars in other programs, but you can get it completely free today—maximizing your return on investment with zero financial risk.

Frequently Asked Questions About This Free Udemy Course

Is this Udemy course really 100% free?

Yes! By using our exclusive coupon code D58A37E02261536E5259, you get 100% off the regular $89.99 price. This makes the entire course completely free—no payment required, no trial period, and no hidden costs. You'll have full access to all course materials just like paying students.

How long do I have to enroll with the free coupon?

This limited-time offer expires on November 19, 2025 at 5:44 PM UTC. After this date, the course returns to its regular $89.99 price. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.

Will I receive a certificate for this free Udemy course?

Absolutely! Upon completing all course requirements, you'll receive an official Udemy certificate of completion. This certificate can be downloaded, shared on LinkedIn, and added to your resume to showcase your new skills to employers.

Can I access this course on my phone or tablet?

Yes! This course is fully compatible with the Udemy mobile app for iOS and Android. Download the app, enroll with the free coupon, and learn on-the-go. You can watch videos, complete exercises, and track your progress from any device.

How long do I have access to this free course?

Once you enroll using the free coupon code, you get lifetime access to all course materials. There's no time limit—learn at your own pace, revisit lessons anytime, and benefit from future updates at no additional cost. Your one-time free enrollment gives you permanent access.

Frequently Asked Questions

Q: Is this course really free?

Yes! Using our verified coupon code, you can enroll for 100% OFF. No hidden charges.

Q: Do I get a certificate?

Upon completion of all video lectures, Udemy will issue a certificate of completion.

Q: How long is my access?

Once you enroll with the coupon, you get full lifetime access to the materials.

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