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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


DA101 Introduction to Data Science - 3
DA102 Data Analysis - 3
DA103 SQL for Data Analysis - 3
DA104 Data Mining - 3
DA204 Capstone Experience in Data Science - 3
GS100 or GS102 College Seminar or College Success - 1 or 3 credits*
MA120 Statistics I - 3
Total Program Credits - 19 credits

*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 (Data Analytics) Courses
GS (General Education) Courses
MA (Mathematics) Courses