Machine Learning in Finance: Basics

Yes. This is a free online self-paced course designed for beginners.

No. The course focuses on basic concepts and is suitable for learners from non-technical and non-finance backgrounds.

You will learn how machine learning is used in finance, including prediction, risk analysis, fraud detection, and financial decision-making.

Students, beginners, and professionals from finance, business, engineering, and other fields can join.

Yes. Learners receive an e-Certification after completing the course.

Machine learning in finance refers to using data-driven models to analyze financial information, predict trends, manage risk, detect fraud, and support better financial decisions.

Yes. The course is suitable for learners from commerce, management, finance, economics, business, engineering, and other data-related backgrounds.

The Machine Learning in Finance: Basics course is designed as a 2–3 week online self-paced course.

Yes. The course introduces fraud detection concepts, credit scoring, risk assessment, prediction, and reliability basics in financial models.

The course explains financial data, prediction models, risk analysis, fraud detection, and finance use cases in simple language without requiring prior coding, finance, or machine learning knowledge. The Machine Learning in Finance: Basics course provides a simple and structured introduction to how AI and machine learning are transforming financial systems. It helps learners understand financial data, prediction models, and real-world applications, making it an ideal starting point for exploring fintech, analytics, and AI-driven finance.