MIT’s finance lectures on portfolio management break down how professionals build and manage investment portfolios using real data, not theory alone. They cover modern tools like risk-adjusted returns, diversification, and asset allocation, and explain why strategies like 60/40 or risk parity matter. The courses also show how to build portfolios in real markets, not just in a spreadsheet. It’s a hands-on look at how traders and asset managers actually think. Credits: MIT OpenCourseWare, Jake Xia

Lecture 19: Introduction to the Laplace Transform | Differential Equations | Mathematics | MIT OpenCourseWare

Useful Logic Gates (5:56) | Computation Structures | Electrical Engineering and Computer Science | MIT OpenCourseWare

Resources | Signals and Systems | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 1: Introduction | Principles of Digital Communications I | Electrical Engineering and Computer Science | MIT OpenCourseWare

Interprocess Communication | Computation Structures | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 13: Sums and Asymptotics | Mathematics for Computer Science | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 1: Introduction and Proofs | Mathematics for Computer Science | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 1: What is Computation? | Introduction to Computer Science and Programming in Python | Electrical Engineering and Computer Science | MIT OpenCourseWare