DAT475Applied Data Analysis

Course Prerequisites ToolSNHU DAT475 has 2 direct prerequisites, with 9 courses in its complete prerequisite tree.

Undergraduate · 3 credits

Students will discover how data analysis is applied in organizational scenarios to gain insight from even imperfect data. Students will also explore more advanced data analytics methods such as collaborating on hypothesis testing and performing root cause analysis, and they will practice presenting visualizations of data analysis that highlight the insights gained from analysis.

Prerequisite Tree

MAT225 — Calculus I: Single-Variable Calculus
- MAT142 — Precalculus with Limits
- MAT140 — Precalculus
  - MAT136 — Introduction to Quantitative Analysis
DAT430 — Leveraging Data Analysis for Organizational Results
- DAT375 — Data Analysis Techniques
  - DAD220 — Introduction to Structured Database Environments
  - MAT303 — Applied Statistics II for Science, Technology, Engineering, and Mathematics (STEM)
    - MAT243 — Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM)

Interactive Prerequisite Graph

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

DAT475

Applied Data Analysis

MAT225

Calculus I: Single-Variable Calculus

MAT142

Precalculus with Limits

MAT140

Precalculus

MAT136

Introduction to Quantitative Analysis

DAT430

Leveraging Data Analysis for Organizational Results

DAT375

Data Analysis Techniques

DAD220

Introduction to Structured Database Environments

MAT303

Applied Statistics II for Science, Technology, Engineering, and Mathematics (STEM)

MAT243

Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM)

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.