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DAT220Fundamentals of Data Mining

Course Prerequisites ToolSNHU DAT220 has 2 direct prerequisites, with 5 courses in its complete prerequisite tree.

Undergraduate · 3 credits

A large portion of data analytics focuses on identifying meaningful patterns in data. Using a case studies approach, students will examine effective strategies that blend both hypothesis testing and data-driven discovery methods to identify meaningful data patterns and apply that knowledge to common business problems. Emphasis will be placed on data-mining tasks such as classification, clustering, and sequential pattern discovery.

Prerequisite Tree

  • DAD215 — Introduction to Statistical Analysis System
    • IT140 — Introduction to Scripting
    • IT145 — Foundation in Application Development
      • CS110 — Fundamentals of Programming
      • IT140 — Introduction to Scripting
  • DAD220 — Introduction to Structured Database Environments

Interactive Prerequisite Graph

Explore the prerequisite relationships visually. The graph below supplements the crawlable list above.

React Flow

Unofficial — For Informational Purposes Only

This site is unofficial and is intended for informational purposes only. Course requirements, transfer evaluations, catalog rules, and program requirements can change. Always confirm your academic plan with your SNHU advisor for official guidance.