This 9 credit-hour certificate could take less than nine months to complete. Courses are 8 weeks each fall and spring and 12 weeks during the summer. Courses are strategically designed to enhance the instruction and interaction between industry and academic leaders.
|Data Literacy||3||8 weeks|
|Data Analysis||3||8 weeks|
|Data Visualization||3||8 weeks|
This course examines concepts, models and methods useful for applying data analytics in technical environments. Focusing on Hypothesis generation, the capturing, storage and expression of data for research analysis. This course will utilize a highly interactive, action-oriented agenda engaging students in hands on competency-based assignments.
This course examines Data Analytics tools useful for analyzing data sets to 1) ask better questions regarding the data and 2) find answers to those questions in order to improve decision making. Inherent in this process, students will gain an understanding of the uncertainty that exists whenever decisions about an entire population are made based upon a sample drawn from the population. This course will utilize a highly interactive, action-oriented series of assignments to engage students and help them develop the skills and confidence needed to analyze their own data sets.
This course introduces modern visualization, techniques and methods useful for applying data analytics in technical environments. This will be achieved by focusing on a storytelling methodology to drive students to form effective communication styles for their data.
- Must receive a B or better in each of the three courses.
- Courses are subject to change due to faculty discretion.