Data Science · Data and Computing
Virginia SOL DS.13
Virginia SOL DS.13 is part of the Data and Computing strand in Data Science (Math). Under this Standards of Learning objective, students select and utilize technological tools to analyze and communicate data effectively. Below is what DS.13 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice DS.13 for the Virginia SOL test.
What SOL DS.13 means
Select and utilize technological tools to analyze and communicate data effectively.
Skills you’ll practice for DS.13
- Generate conventional and unconventional visualizations to explore patterns or analyze large datasets using technology tools.
- Perform descriptive and inferential statistical analysis using specific functions in technology tools.
- Use coding to store and extract data more effectively for analysis.
- Organize, summarize, and gain insight from data using features of technology tools.
- Select and create the appropriate visualization based on context and audience to communicate an idea effectively.
Key concepts covered by DS.13
- visualization generation
- pattern exploration
- large dataset analysis
- descriptive analysis
- inferential analysis
- statistical functions
- technology tools
- coding
- data storage
- data extraction
- data analysis
- data organization
- data summarization
- insight generation
- technology features
- visualization selection
- audience analysis
- contextual visualization
- communication
How to study and practice SOL DS.13
Start with a quick diagnostic to see whether DS.13 is already solid, then work each skill above with guided notes, flashcards, and SOL-style practice questions. For official released items, see our Virginia SOL practice tests guide and how to study for the SOL test.
Related Data Science standards in Data and Computing
- DS.12 — Select and utilize technological tools to process and prepare data for analysis.
Frequently asked questions about SOL DS.13
What is Virginia SOL DS.13?
SOL DS.13 is a Data Science Standard of Learning in the Data and Computing strand. It expects students to select and utilize technological tools to analyze and communicate data effectively.
What skills does SOL DS.13 cover?
SOL DS.13 is assessed on 5 skills: generate conventional and unconventional visualizations to explore patterns or analyze large datasets using technology tools; perform descriptive and inferential statistical analysis using specific functions in technology tools; use coding to store and extract data more effectively for analysis; organize, summarize, and gain insight from data using features of technology tools; select and create the appropriate visualization based on context and audience to communicate an idea effectively.
What strand of Data Science is SOL DS.13 in?
SOL DS.13 belongs to the Data and Computing reporting strand of the Data Science Virginia Standards of Learning.
How do I study and practice for SOL DS.13?
Start with a diagnostic to see whether DS.13 is already solid, then work the 5 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.