History

A working understanding of finance and investing — how capital markets price risk, how companies create value, how investors build portfolios, and where the math meets human psychology. The trunk gives you the throughline; clusters dive into financial statements, valuation, corporate finance, bonds, portfolio construction, derivatives, and behavioral finance.

A working understanding of blockchain and Web3 — what these systems actually are, why they were built, and how the pieces (wallets, consensus, smart contracts, tokens, DeFi, NFTs, DAOs) fit together. The trunk gives you the orientation to follow any crypto conversation; clusters dive into cryptography, custody, consensus, smart-contract engineering, DeFi mechanics, NFTs/DAOs, and building dApps.

A coherent, mechanistic picture of how the Earth actually works as a coupled system — its biogeochemical cycles, climate physics, ecosystems, pollution pathways, and the leverage points where solutions live. The trunk gives you the throughline a working professional needs to reason about environmental claims; clusters dive into circulation, ecology, paleoclimate, climate modeling, pollution, energy, and mitigation.

A working understanding of probability and statistics — how to reason under uncertainty, turn data into claims, and recognize when those claims are honest. The trunk gives you the core vocabulary and the inference pipeline; clusters dive into Bayesian reasoning, frequentist theory, regression, stochastic processes, and experimental design.

A comprehensive curriculum spanning the major domains of psychological science — from the biological underpinnings of behavior to the social forces that shape identity, from cognitive architecture to clinical intervention. Learners progress from foundational concepts through empirical methods, cognitive and developmental frameworks, social and personality dynamics, behavioral and clinical applications, and finally into positive and applied psychology. The curriculum emphasizes both scientific rigor and real-world relevance, equipping learners to think critically about human behavior in personal, professional, and societal contexts.

Build the universal mental model that every database is implemented against — the relational model, schemas and keys, indexes, transactions, concurrency, PostgreSQL architecture, production operations, modeling patterns, and the modern data ecosystem (NoSQL, distributed SQL, warehouses, vectors, streaming).