This credential earner has job-ready skills & a portfolio to be an entry-level data analyst or data scientist. They can work with data utilizing tools including Excel, Cognos, and R. They can explain data analyst and data scientist roles, create charts and dashboards, and use SQL. The earner is proficient in data preparation, analysis, visualization, predictive modeling, and creating interactive data applications, in addition to communicating data findings and preparing reports for stakeholders.
Additional DetailsSkills
Earning Criteria
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The methods of assessment include quizzes, Peer review graded projects with rubrics and more with a minimum passing score of 70%.
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Instructional strategies include: audio visual materials, case studies, computer-based training, practical exercises, lectures.
Endorsements
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American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 15 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in Introduction to Data Analytics in the lower-division undergraduate category -
American Council on Education
3 semester hours in Introduction to Databases and SQL Programming in the lower-division undergraduate category -
American Council on Education
3 semester hours in R Programming Fundamentals in the upper-division undergraduate category -
American Council on Education
3 semester hours in Advanced Data Analytics in the upper-division undergraduate category -
American Council on Education
3 semester hours in Data Visualization in the upper-division undergraduate category -
FIBAA
This credential has been successfully certified by the Foundation for International Business Administration Accreditation and is recommended for recognition of up to 4 ECTS credits. For more information about FIBAA, visit www.fibaa.org. -
FIBAA
4 semester hours