Business Analytics and Decision Skills
Practice decisions with data, constraints, uncertainty, and tradeoffs.
Course atlas
Choose a serious course path.
Browse the public Gradus course previews currently available on the website. Each preview points to the local-only demo or the closed beta path without collecting information first.
Public previews
These pages are stable entry points for the courses represented on the homepage and demo surface.
Algorithms and Data Structures
Preview invariants, data structures, graph methods, and correctness reasoning.
Programming Concepts and Abstractions
Practice functions, state, recursion, abstraction, and evaluation models.
Databases and Data Systems
Preview schemas, SQL, indexes, query plans, transactions, and storage.
Computer Networks
Practice protocols, routing, transport, congestion, DNS, HTTP, and security basics.
Linear Algebra and Matrix Methods
Practice vectors, matrices, rank, orthogonality, eigenvalues, SVD, and data geometry.
Convex Optimization
Practice convex sets, functions, cones, duality, problem forms, and descent methods.
Statistical Inference
Practice estimation, likelihood, hypothesis testing, Bayesian inference, regression, and classification.
Rudin Principles of Mathematical Analysis
Practice ordered fields, topology, sequences, continuity, differentiation, and Riemann-Stieltjes integration.