Curated watch paths by topic and exam skill — work through lessons in a sensible order instead of hunting the course tree.
Browse the lists below — upgrade to watch the full paths (sample lessons stay free).
Types of data, displays, summaries, and the normal distribution.
Categorical and numerical associations, scatterplots, and correlation.
Least-squares regression and using regression to model relationships.
Log, square, and reciprocal transformations for bivariate data.
Smoothing, seasonal indices, trend lines, and forecasting.
Sequences, simple and compound interest, and growth/decay models.
Reducing balance loans, amortisation, annuities, and finance solver skills.
Matrix arithmetic, inverses, and dominance matrices.
Markov chains, transition matrices, and Leslie population models.
Graphs, Euler/Hamilton paths, Dijkstra, and minimum spanning trees.
Maximum flow, matching, activity networks, and crashing.
Revise unit circle definitions, graphs, equations, and rules for circular functions.
Core derivative rules and techniques for Mathematical Methods Units 3 & 4.
Tangents, rates, stationary points, and Newton's method — exam-ready applications.
Antiderivatives, definite integrals, and area under a curve.
Discrete and continuous distributions that feed Methods exam probability questions.
Sample proportions and confidence intervals for Units 3 & 4.
Functions, relations, and transformation skills that underpin later topics.
Exponential and log graphs, equations, and growth/decay applications.
Reading displays, scatterplots, box plots, and choosing the right graph.
High-yield General Maths topics that often appear as multiple-choice questions.
Calculator and finance-solver workflows for exam-style General Maths questions.
Extended-response style paths through networks, flow, and matrix models.
Cross-topic path focused on reading and sketching graphs for exam questions.
Short, high-yield topics that commonly feed Methods Exam 1 multiple-choice questions.
Multi-step applications suited to longer Methods Exam 2 style questions.
Lessons where CAS workflows and numerical methods matter most in exam conditions.