STEM Career Pathway

Data Science

A pathway built around the statistics, probability, and scientific-reasoning skills that underpin modern data science work.

Statistics, reasoning, and quantitative literacy.2 core subjects · 6 curated topics · 2 exams

Core Subjects

The library areas this pathway draws from

Subject libraryMathematicsFrom foundational arithmetic through advanced problem solving.Open MathematicsSubject libraryResearch & Scientific SkillsHow real scientists think, write, and reason.Open Research & Scientific Skills

Curated Topics

A recommended reading order

  1. 01MathematicsStatisticsDescribing data and reasoning about uncertainty.
  2. 02MathematicsProbabilityCounting, distributions, and the language of chance.
  3. 03MathematicsCalculus ILimits, derivatives, and the geometry of change.
  4. 04Research & Scientific SkillsStatistics for ScienceInference, error, and significance in practice.
  5. 05Research & Scientific SkillsData AnalysisFrom raw measurements to defensible conclusions.
  6. 06Research & Scientific SkillsGraph InterpretationReading figures the way scientists do.

Recommended Exams

Standardized exams aligned with this pathway

SATDigital SAT math and verbal preparation.Open SAT hubACTACT English, math, reading, science, and writing.Open ACT hub
A curated pathway: this page organizes existing library topics for data science. Detailed advisory content and recommended timelines will be added by the instructor.

Begin

Start with a focused strategy conversation.

The strategy session is the first step of working together — a focused academic planning and diagnostic conversation used to understand the student before any ongoing academic support begins.

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