📚 Syllabus & Course Curriculum
AI & Machine Learning in Healthcare
Module-by-module breakdown of Machine Learning in Finance: Basics, from foundations to a certified capstone project.
Outline
What is Machine Learning in Finance? • Role of Data in Financial Systems • Applications of ML in Banking and Investment • Overview of Financial Decision-Making
Outline
Types of Financial Data: Market, Transactions, and Time Series • Introduction to Stock, Price, and Market Trends • Features and Variables in Financial Analysis • Importance of Data Quality
Outline
Predicting Prices and Trends • Credit Scoring and Risk Assessment • Fraud Detection Concepts • Customer Analytics in Financial Services
Outline
Understanding Prediction Accuracy • Risk and Uncertainty in Financial Models • Overfitting and Reliability Basics • Interpreting Model Results in Finance
Outline
AI in Investment, Trading, and Banking • Role of ML in FinTech and Digital Finance • Career Opportunities in AI and Finance • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Machine Learning in Finance: Basics
e-Certificate and e-Marksheet issued on successful completion.
