Financial Markets
Robert Shiller's tour of risk, behavioural finance, and how markets price uncertainty.
/Courses_001
School gives me a baseline. Courses give me a moat. Here's what I'm working through alongside IGCSEs — finance, ML, and the bits in between.
/ Total
09
/ Completed
08
/ In progress
01
/ Planned
02
Robert Shiller's tour of risk, behavioural finance, and how markets price uncertainty.
Time value of money, NPV, and discounted cash flow — the working vocabulary of valuation.
Capital structure, firm valuation, and the bridge between theory and real-world dealmaking.
First proper structured Python course after years of self-taught scripts.
Solidified the core — data structures, OOP, and the standard library.
Andrew Ng's map of what AI can and cannot do — essential context before writing any model.
Regression, classification, and clustering — the practical toolkit that feeds into STK_Predictor.
Sequences, probability, and statistics — quiet quant prep hiding inside the syllabus.
Critical analysis of Islamic texts and history — structured argumentation under exam pressure.
● QUEUED · Engineering & ML
DeepLearning.AI · Coursera
● QUEUED · Engineering & ML
Self-study · LeetCode + book