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Machine Learning for Finance

Machine Learning for Finance is a beginner-level online course from Udemy in Machine Learning. It is structured in 7 modules with 7 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.1/5 from 66 ratings on Udemy, with 481 enrolled.

Part of our Machine Learning courses collection, where we compare it against 20 other courses.

★★★★★4.1(66 reviews) 481 learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.1★ (66 reviews)
Learners 481
Price Free Free

What you’ll learn

How to tackle problems in Fintech and financial investments
Learn feature engineering, EDA and understanding with regards to financial data
Build an ANN-based model for predicting the stock prices
Enhance your Machine Learning skills with ensemble models like random forest and XGBoost.
Enhance your understanding of Neural Networks to build regression-based models.
Learn how to identify fraudulent transactions by building a fraud detection model by using classification models.
Achieve efficient frontier by using features like Sharpe ratios and risk management.

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

7 modules

The 7-part outline Udemy publishes for this course.

Module 1 · Financial Data Understanding, EDA, and Feature Engineering
Module 2 · Predicting the FOREX Currencies by Building a Linear Model
Module 3 · Tree-Based Machine Learning Techniques for Stock Prediction
Module 4 · Artificial Neural Networks Basics and Intuition
Module 5 · Stock Price Prediction by Using Artificial Neural Networks
Module 6 · Modern Portfolio Theory and Techniques for Portfolio Management
Module 7 · Predicting Fraud in Financial Transactions by Using ANN classification

What learners rate it

4.1
★★★★★
66 ratings

Rated 4.1/5 by 66 learners on Udemy (checked 25 Aug 2026).

This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Machine Learning for Finance This Udemy 4.1★ Free Free — and still gives a certificate
Machine Learning Coursera 4.9★ Check price 2 months Highest rated (4.9★ from 39.2K reviews)
Machine Learning with Python Coursera 4.7★ Check price 20h 26m Quickest to finish (20h 26m)
Machine Learning: Classification Coursera 4.7★ Check price 21h 25m Beginner-friendly · 21h 25m
See all Machine Learning courses →

Where Machine Learning leads

Roles we map to Machine Learning on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

Is Machine Learning for Finance free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Machine Learning for Finance come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Machine Learning for Finance suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Machine Learning for Finance cover?

It is organised into 7 modules, starting with Financial Data Understanding, EDA, and Feature Engineering and going on to Predicting the FOREX Currencies by Building a Linear Model, Tree-Based Machine Learning Techniques for Stock Prediction, Artificial Neural Networks Basics and Intuition, Stock Price Prediction by Using Artificial Neural Networks, among others. The full outline is on this page.