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South Carolina Information Systems: M.3

  1. Frameworks
  2. South Carolina Information Systems

CodeHS Lessons

Implement a variety of built-in database functions to extract, query, aggregate, filter, sort, etc. to support and explain ideas regarding patterns and trends in data

Fundamentals of Cybersecurity
Standard
8.7 Basic Querying in SQL
8.8 Filtering Queries in SQL

Data Science with Python
Standard
2.3 Importing and Filtering Data
2.4 Conditional Filtering
3.7 Trends and Correlations
4.3 Aggregating Data

Data Science with Python (Month)
Standard
2.3 Importing and Filtering Data
2.4 Conditional Filtering

Arizona Software and App Design I
Standard
11.6 Basic Querying in SQL
11.7 Filtering Queries in SQL

Georgia Introduction to Digital Technology
Standard
22.7 Basic Querying in SQL
22.8 Filtering Queries in SQL

Illinois Introduction to Computer Science
Standard
14.7 Basic Querying in SQL
14.8 Filtering Queries in SQL

Indiana Topics in Computer Science
Standard
8.2 Importing and Filtering Data
8.3 Conditional Filtering
8.8 Aggregating Data

Indiana Computer Science III: Cybersecurity
Standard
9.7 Basic Querying in SQL
9.8 Filtering Queries in SQL

Nevada Middle School Computer Science
Standard
10.7 Basic Querying in SQL
10.8 Filtering Queries in SQL

South Carolina Cybersecurity Fundamentals
Standard
17.7 Basic Querying in SQL
17.7 Basic Querying in SQL
17.8 Filtering Queries in SQL
17.8 Filtering Queries in SQL

Texas Foundations of Cybersecurity
Standard
7.3 Basic Querying in SQL

Virginia Cybersecurity Fundamentals
Standard
5.8 Basic Querying in SQL
5.9 Filtering Queries in SQL