/Courses_001

Self-directed curriculum.

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

Finance

Count: 03
CompletedSEPT 2024/ Yale University · Coursera

Financial Markets

Robert Shiller's tour of risk, behavioural finance, and how markets price uncertainty.

CompletedNOV 2024/ University of Pennsylvania · Coursera

Fundamentals of Finance

Time value of money, NPV, and discounted cash flow — the working vocabulary of valuation.

In progressJUN 2026/ Wharton · Coursera

Introduction to Corporate Finance

Capital structure, firm valuation, and the bridge between theory and real-world dealmaking.

Engineering & ML

Count: 04
CompletedJUN 2022/ University of Michigan · Coursera

Python for Everybody

First proper structured Python course after years of self-taught scripts.

CompletedDEC 2022/ Self-study · docs + practice

Python Fundamentals

Solidified the core — data structures, OOP, and the standard library.

CompletedAUG 2023/ DeepLearning.AI · Coursera

AI for Everyone

Andrew Ng's map of what AI can and cannot do — essential context before writing any model.

CompletedMAR 2024/ IBM · Coursera

Machine Learning with Python

Regression, classification, and clustering — the practical toolkit that feeds into STK_Predictor.

Cambridge IGCSE

Count: 02
CompletedMAY 2026/ Cambridge Assessment International

Cambridge IGCSE — Mathematics (0580)

Sequences, probability, and statistics — quiet quant prep hiding inside the syllabus.

CompletedMAY 2026/ Cambridge Assessment International

Cambridge IGCSE — Islamiyat (0493)

Critical analysis of Islamic texts and history — structured argumentation under exam pressure.

Up next

Queue

● QUEUED · Engineering & ML

Machine Learning Specialization

DeepLearning.AI · Coursera

● QUEUED · Engineering & ML

Data Structures & Algorithms

Self-study · LeetCode + book