APPLIED ANALYTICS – CERTIFICATE

Individuals seeking to enhance their skills in the emerging field of data analytics will accomplish their goals in this Certificate program. The program is designed for those who possess basic knowledge of the field of data science, and who are experienced in data mining techniques, including using SQL. This certificate concentrates on the critical elements and procedures essential to manipulating and analyzing big data. The acquisition of related skills – project management, team work, and reporting skills – 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:

Employ a contemporary big data architecture platform for data analysis tools.
Analyze real-world problems using a contemporary big data architecture platform and associated technologies.
Demonstrate the ability to manage and manipulate multiple data sets from internal and external systems for inclusion in analysis and reporting.
Demonstrate competency with data science practices that allow for reproducible results.
Apply fundamental R programming language concepts.
Demonstrate knowledge of key project management principles.

Applied Analytics - Certificate Curriculum

BU300 Project Management - 3 credits
DA105 Big Data Architecture - 3 credits
DA106 Problem Solving, Decision-Making, & Computer Applications in Business - 3 credits
DA200 Statistical Methods in Data Science - 3 credits
DA201 Data Analysis with R - 3 credits
GS100 or GS102 College Seminar or College Success - 1 to 3 credits*
Total Program Credits 16

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

Additional Degree Requirements

All courses require a minimum grade of "C" and a Quality Point Average of 2.0.

BU (Business) Courses
DA (Data Analytics) Courses
GS (General Education) Courses