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Data Science SOL Study Guide

Practice for the Data Science Virginia SOL test across all 13 standards and 5 strands. SOL Prep turns every standard into a diagnostic, guided notes, flashcards, and SOL-style practice questions — so you drill what you’re actually weak on instead of re-reviewing what you know.

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Data Science SOL practice tests

Two ways to practice Data Science: work through official released items from the Virginia Department of Education, or drill standard by standard with SOL Prep.

What Data Science covers

Data in Context

  • DS.1 — Identify problems suitable for data-driven solutions and define the stages of the data science cycle.
  • DS.2 — Design a data project plan aligned with the data science cycle, including sampling methodology.

Data Bias

  • DS.3 — Recognize data literacy and identify biases in existing analyses and visualizations.
  • DS.4 — Identify biases in data collection and understand implications and privacy issues.

Data and Communication

  • DS.5 — Use storytelling to communicate data science project results effectively.
  • DS.6 — Justify the design, use, and effectiveness of different data visualizations.

Data Modeling

  • DS.7 — Assess the reliability of source data for mathematical modeling.
  • DS.8 — Acquire and prepare big datasets for modeling and analysis.
  • DS.9 — Select and analyze data models to make predictions while assessing accuracy and uncertainty.
  • DS.10 — Summarize and interpret data in conventional and emerging visualizations.
  • DS.11 — Select statistical models and tests to extract actionable knowledge from data.

Data and Computing

  • DS.12 — Select and utilize technological tools to process and prepare data for analysis.
  • DS.13 — Select and utilize technological tools to analyze and communicate data effectively.

Frequently asked questions

What is on the Data Science SOL test?

The Data Science Virginia SOL test is organized into 5 reporting strands: Data in Context, Data Bias, Data and Communication, Data Modeling, Data and Computing. It assesses the 13 Standards of Learning listed on this page.

How many standards does Data Science cover?

Data Science covers 13 individual Virginia SOL standards across its 5 strands.

Where can I find Data Science SOL practice tests?

The Virginia Department of Education publishes official released tests and practice items at doe.virginia.gov — see our Virginia SOL practice tests guide for direct links. SOL Prep adds standard-by-standard practice for each of the 13 Data Science standards below.

How should I study for the Data Science SOL?

Start with a diagnostic to find which of the 13 Data Science standards you're weakest on, then focus practice there instead of re-reviewing what you already know. Work each standard's skills, then take a mixed practice check.