FUNDAMENTALS OF DATA ANALYTICS – CERTIFICATE


Individuals seeking to acquire or enhance their skills in the emerging field of data analytics will accomplish their goals in this Certificate program. The program is designed to prepare those seeking entry-level positions as well as those currently employed to enhance their on-the-job skills. Required course work provides students with the knowledge and skills to design and manage databases for analytic processing. The acquisition of related skills – project management, team work, and reporting results – are also addressed in the program.


PROGRAM LEARNING OUTCOMES

All students completing this program are expected to achieve the General Education outcomes described in the General Studies section of the catalog as well as the following learning objectives:

  • Demonstrate the ability to manage and manipulate big data from both internal and external systems for inclusion in analysis and reporting.

  • Work collaboratively with team members from multiple departments in assembling, analyzing, interpreting, and reporting data findings that are helpful in decision-making.

  • Develop clearly written reports that incorporate effective visualizations in support of communicating results of statistical analyses.


Fundamentals of Data Analytics – Certificate Curriculum

First Year – 1st Semester
Courses

Course Number

Course Title

Credits

DA101

Introduction to Data Science

3

DA102

Data Analysis

3

DA103

SQL for Data Analysis

3

DA104

Data Mining

3

*GS100 or
*GS102

College Seminar or
 College Success

1 - 3

MA120

Statistics I

3

Total Credits

 

16

First Year – 2nd Semester
Courses

Course Number

Course Title

Credits

DA204

Capstone Experience in Data Science

3

Total Credits

3

Total Program Credits

19

*GS100 College Seminar or GS102 College Success must be taken at the main campus


Additional Degree Requirements

A minimum grade of “C” is required in all courses and a Quality Point Average of 2.0.


DA Course Descriptions
GS Course Descriptions
MA Course Descriptions