Data Analytics
Issued by
Farmingdale State College
The Data Analytics microcredential is designed to help students develop expertise in data processing, prediction-making, and proficient communication within the field of data analytics. The curriculum covers crucial areas such as Applied Probability and Statistics, Experimental Design, and Statistical Data Mining. This microcredential ensures that individuals gain a practical understanding of quantitative techniques, strategies, and tools essential for effective data analytics.
Earning Criteria
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To achieve the Data Analytics microcredential, students will complete 3 required courses totaling 9 credits. This coursework will include MTH 360: Applied Probability and Statistics (3 credits), MTH 380: Experimental Design (3 credits), and MTH 420: Statistical Data Mining (3 credits). Students must meet the prerequisites for each of the courses and earn a grade of B or better in MTH 360, MTH 380, and MTH 420 (pre-requisites listed below).
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Pre-requisite coursework for the microcredential includes: MTH 151 or MTH 236 as a pre-requisite for MTH 360, MTH 220 or BUS 240 or MTH 360 or permission from the department as a pre-requisite for MTH 380, and MTH 360 or permission from the department as a pre-requisite for MTH 420
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Students will be required to work on a project in MTH 420: Statistical Data Mining. Students are also required to write a report and present their results to the department at the end of the semester.