Jun 22, 2024  
2023 - 2025 Voorhees University Catalog 
  
2023 - 2025 Voorhees University Catalog

Certificate in Data Analytics (CDA)


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Rationale: With the development of computer and information science, huge amounts of data are produced every day in many areas. There are 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating with the growth of the Internet of Things (source: https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-daythe-mind-blowing-stats-everyone-should-read/). The professionals with the quantitative and computational skills to make sense of such data are in high demand. This certificate is designed to provide functional literacy in data analytics. The courses in this data analytics program are accessible to learners with limited or no statistical background, yet also structured to prepare students to make efficient decisions based on data analytic techniques. The certificate will open doors to careers and further graduate study.

Data Analytics Certificate Learning Outcomes: Through the study of this certificate program, students will gain comprehensive skills for data analytics. This deep set of core competencies in multiple areas will increase your marketability in this fast-paced industry including programming, statistics, and machine learning.

Data Analytics Certificate Requirements: This certificate requires a minimum of 15 credits, including 3 semester credit hours which may come from elective course options. Participants are required to earn a grade of “C” or higher in all certificate courses.

After the successful study, students will be able to:


  1. Analyze and interpret data using an ethically responsible approach.
  2. Use appropriate models of analysis to assess the quality of input and derive insight from results and investigate potential issues.
  3. Apply computing theory, languages and algorithms, as well as mathematical and statistical models to appropriately formulate and use data analyses.
  4. Interpret data findings effectively to any audience, orally, visually and in written formats.

Top jobs available in Data Analytics:

  • Data Scientist
  • Business Intelligence Analyst
  • Database Developer
  • Database Administrator
  • Data Engineer
  • Data Analytics Manager

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