This page maps the quantitative content of the GMAT Focus Edition to the Brilliant lessons that teach it. Search by topic or skill to find the closest match. A topic is listed only where Brilliant content fully or in part addresses it directly.
The Focus Edition narrowed what the Quantitative Reasoning section asks: geometry was removed outright, and Data Sufficiency moved to the Data Insights section, which also carries table analysis, graphics interpretation, and multi-source reasoning. The rows below are grouped accordingly — the Quantitative Reasoning topics first, then the quantitative content that Data Insights assesses instead.
GMAC does not publish reference codes for these topics, so the codes shown here (QR.ARI.1, DI.2, and so on) are Brilliant's own shorthand: the section's abbreviation followed by the topic's position in GMAC's ordering.
Quantitative Reasoning — Arithmetic
Quantitative Reasoning — Algebra
Data Insights — quantitative content outside the Quantitative Reasoning section
| GMAT topic | What the topic asks | Brilliant targeted skill |
|---|---|---|
| DI.1 | Data Sufficiency. Given a question and two statements labeled (1) and (2), decide whether the data given are sufficient to answer the question — analyzing a quantitative problem, recognizing which data are relevant, and determining at what point there is enough data to solve it, without solving it. | Probability in Data — Choosing inputs for a simulation; Solving Equations — Evaluating mathematical statements |
| DI.2 | Multi-Source Reasoning. Examining data spread across two or three sources — text passages, tables, graphics, or a combination — and analyzing each source to answer several questions: recognizing discrepancies between sources, drawing inferences, and judging whether a source is relevant. | Exploring Data Visually — Making a data-backed recommendation |
| DI.3 | Table Analysis. Sorting and analyzing a spreadsheet-like table of data to determine what information is relevant or meets a stated condition, and judging each of several statements true/false (or yes/no) against that condition. | Exploring Data Visually — Creating new data columns, Filter a data table with conditions, Group a data table to summarize categories; Probability in Data — Estimating probabilities from past data |
| DI.4 | Graphics Interpretation. Interpreting information presented in a graph or graphical image — scatter plot, x/y graph, bar chart, pie chart, statistical curve distribution (GMAC's own list) — to discern relationships and make inferences, completing statements from drop-down choices. | Linear Systems — Checking points in inequalities, Identifying inequality solutions, Reading points on a graph; Exploring Data Visually — Compare boxplots across datasets, Describe the relationship in a scatter plot, Describing how two things relate, Find frequencies and percentiles from a histogram, Find percents of a whole from a pie chart, Identify and extend a trend on a line graph, Judging how strongly things relate, Read and compare bars on a bar chart, Read coordinates of points on a scatter plot, Read median, quartiles, and extremes from a boxplot, Reading and comparing bar charts, Reading histograms, Reading line graphs, Reading pie charts, Reading scatter plots, Spotting trends over time; Everyday Statistics — Comparing data sets with box plots, Matching data to box plots, Reading box plots; Proportional Reasoning — Comparing proportional graphs, Graphing proportional relationships; Regression — Detecting hidden groups in data, Reading correlation from a scatter plot; Polynomials — Finding roots from graphs, Identifying sign regions, Reading polynomial graphs; Introduction to Functions — Identifying function intervals, Reading continuous function graphs, Reading discontinuous function graphs, Reading periodic function graphs; Linear Relationships — Interpreting intercepts, Recognizing linear relationships; Quadratics — Reading solutions from graphs |
How this page is built
Every skill in the Brilliant math courses that reach the level the GMAT tests is mapped to the single topic it aligns with most closely, using GMAC's published content specification for the GMAT Focus Edition as the authority for what each topic requires and where its boundaries fall. Skills that build toward a topic without teaching its stated content are excluded, so a skill appears here only where it addresses the topic directly.
Each skill links to a lesson where it is practised, and hovering a skill shows the description learners see for it. This page is regenerated from the mapping, so it reflects the current state rather than a fixed snapshot.