CanvasData Analytics Certificate Requirements
21 - 24 credits
| Code | Title | Hours |
|---|---|---|
| CS 1400 | Fundamentals of Programming | 3 |
| ISA 2010 | Proficiency in Excel & SQL | 0-3 |
| or ISA 2011 | Microsoft Office Specialist (MOS) Excel Expert Certification | |
| STAT 2040 | Business Statistics | 3 |
| or MATH 1040 | Introduction to Statistics (MA) | |
| MATH 2050 | Applied Statistics with Programming | 3 |
| ISA 3020 | SQL & Python for Analytics | 3 |
| ISA 4060 | Big Data Analytics | 3 |
| or IT 4060 | Big Data Analytics | |
| ISA 4070 | Data Visualization and Storytelling | 3 |
| MATH 4800 | Industrial Careers in Mathematics | 3 |
| Total Hours | 21-24 | |
Completion Requirements
- Grade C- or higher in each Discipline Core Requirement course.
- GPA 2.5 or higher Discipline Core Requirement courses.
Data Analytics Certificate Program Learning Outcomes
At the successful completion of this certificate, students will be able to:
- Compose solutions to computational problems using fundamental programming abstractions.
- Apply data and statistical best practices to collect, cleanse, transform, and store data for subsequent analysis.
- Evaluate and use appropriate statistical concepts to respond to a variety of problems/issues from various disciplines.
- Create graphically encoded data in useful formats from previously analyzed data and demonstrate the accurate communication of the findings for data problems to decision makers with diverse skill levels.
- Develop, test, and implement a mathematical model of their own devising by working in teams to solve interdisciplinary problems, and write a professional report describing their model and results that meets the practical constraints of a client.