Please enable JavaScript to use CodeHS

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

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
12.6 Basic Querying in SQL
12.7 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

Oklahoma Advanced Programming
Standard
10.2 Importing and Filtering Data
10.3 Conditional Filtering
10.8 Aggregating Data

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

Fundamentals of Cybersecurity (2020)
Standard
8.7 Basic Querying in SQL
8.8 Filtering Queries in SQL