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Data - Practical Data Science

The Certificate in Practical Data Science is designed for undergraduate students and will supplement current administrative, journalistic and technical careers with marketable skills. Upon completion, the student will have gained a foundational understanding and related competencies in many facets of effective communication with data.

Competencies will include how to conduct surveys and experiments, data wrangling, cleaning, sampling, analyzing, and visualizing of data, and more. Topics pertaining to the analysis and presentation of big data will be explored. Intended as a stand-alone certificate, students will be able to apply data analysis skills in any career or job that requires reporting from quantitative and qualitative sources of information.

Certificate Requirements

Course ID Course Theory Lab Credits
MATH225G Probability and Statistics 4 0 4
Classroom 4, Lab 0, Total 4
DATA210G Elements of Data Science 3 0 3
Classroom 3, Lab 0, Total 3
MATH235G Statistics for Engineers and Scientists 4 0 4
Classroom 4, Lab 0, Total 4
DATA220G Data Analysis with R 3 0 3
Classroom 3, Lab 0, Total 3
Electives: Select two (2) courses from the following
 
CIS111G Computer Technologies 2 2 3
Classroom 2, Lab 2, Total 3
CIS124G Web Development I 2 2 3
Classroom 2, Lab 2, Total 3
CIS224G Web Development II 2 2 3
Classroom 2, Lab 2, Total 3
Total Credits 20

Total Overall Credits : 20

Still not sure?

Contact one of the Program Faculty or an Admissions Representative to learn more about the program.