Data Analytics and Predictive Modeling

This certificate will provide students with experience in the field of data science including such areas as data management, data analysis, data collection, and data visualization. It is suitable for students who wish to begin work in the field, for those who wish to supplement their existing coursework with additional experiences in these data science areas, and for students who have obtained a bachelor's or other degrees in any number of analytical and scientific fields and wish to upgrade or update their skills and training.

Positions that have been held by bachelor degree applicants will be within the certificate graduate's reach of filling the position. With the advisory committee, our students will have the opportunity to shadow and work with data scientists in the regional industry.

We expect 15 to complete the certificate program in Spring 2022 and an increase of 15% increase every year thereafter.

The purpose of the program is to prepare the students to go to work as a Data Practitioner (Data Analyst, Operation Researcher, Database Administrator, Software Engineer, Web Programmer, Data Scientist, eCommerce Analyst, Business Analyst, Computer Programmer, and Sales Data Analyst) after completing the Data Analytics Certificate of Achievement.  A regional employer who reviewed the content of the Data Analytics certificate program said, "[the content] should give students the [required skills] to begin working on database reports and analytic projects."  The content of the program addresses the following program student learning outcomes.

1. Extract data from a database to solve data-related problems using programming languages used for data science and statistical software.

2. Produce, communicate, and interpret data analysis using data visualization, numerical summaries, modeling, and statistical inferences.

3. Recognize questions that can be investigated, the data source to select to make the investigation and understand the methods of randomly collecting data.

4. Fit, Interpret and evaluate statistical models for prediction and inference.

5. Acquire data from various sources, maintain databases, and perform data exploration techniques to prepare data for analysis.

6. Provide students with mathematical tools to help them form a mathematical foundation for data science.

This certificate will provide students with experience in the field of data science including such areas as data management, data analysis, data collection, and data visualization. It is suitable for students who wish to begin work in the field, for those who wish to supplement their existing coursework with additional experiences in these data science areas, and for students who have obtained a bachelor's or other degrees in any number of analytical and scientific fields and wish to upgrade or update their skills and training.