Jun 24, 2024  
2023-2024 Academic Catalog 
    
2023-2024 Academic Catalog [ARCHIVED CATALOG]

Foundations in Digital Analytics Certificate (DGFN-CC)

Location(s): Capital, Northwestern Connecticut


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CT State Community College Catalog 2023-2024

  • New students enrolling for the first time in Fall 2023 will begin as students of Connecticut State Community College under this catalog. 
  • Continuing students from one of the 12 community colleges will be transitioned into a CT State program in this catalog as of the start of the Fall 2023 term.
  • The policies, courses and programs described are applicable as of the Fall 2023 term and may be updated as circumstances require.

The Foundations in Digital Analytics Certificate provides students a foundation in data basics, probability and statistics, data analytics, data manipulation, data visualization and communication, and data ethics and security, while supporting students to acquire industry-informed and aligned digital and analytical skills necessary to succeed in a wide array of career opportunities. The certificate’s learning outcomes are based on a national framework endorsed by Fortune 500 firms across the country. Students who complete the certificate will have the opportunity to earn industry-recognized badges in four domains: data analytics, data validations, data visualization, and data ethics and security. Participating students will be eligible for industry experience opportunities, such as participation in mentorship programs or capstone projects, to provide the student real- world industry experience. The certificate will incorporate industry-approved learning opportunities such as case studies and projects to build students’ digital analytics skills for in-demand work.

Learning Outcomes:

  • Explain the importance of the uses of data,data ethics,and data
  • Implement foundationa lconcepts of data manipulation,data analysis,data visualization,and
  • Utilize various technologies and programmin glanguages to organize,analyze,explore,and visualize
  • Apply statistical techniques to data to make sense of data and solve problems
  • Demonstrate the ability to apply all data-related concepts through case studies and projects.

 

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