data skills for all.

Our data-driven curriculum identifies and enhances the current Belmont programs to develop new opportunities for innovative degrees at the undergraduate and graduate level, as well as with organizations within the community.


The definitions of data and its use continues to be blurred as more facets of data and data science continue to grow. We aim to foster the ability to identify a problem and its appropriate data sources then collect, clean, explore, analyze, and tell a story to compel action.

Data Awareness

This is the ability to recognize and appreciate the role data plays in our day-to-day lives.


Explain the role data plays in society and its importance to impact and decision making. 


How does ethics, privacy, and security play into the role of data.


Understand the differences between data and information as well as analytics and data science.

Data Literacy

The ability to read, write, and communicate data in its given context.


Understanding the “why” and its main objectives.


The ability to identify the data sources that are available.


The ability to read and review analysis and its results and compel it into action.

Data Proficiency

Knowledge to interpret the output of analysis and to work with data to provide insights.


Understanding the problem and identifying and collecting the relevant data.


Basic data cleaning and analysis to get a good idea of the data


The ability to create visual and numerical insights from the data that is actionable.

Data Fluency

 A deep understanding of data science and analytics skills that enable various techniques.

Collect & Analyze

Collect and clean large volumes of data, then analyzing to interpret data to improve a company’s operations.

Develop & Detect

Develop statistical models that analyze data to detect patterns, trends, and the relationships in various data sets.


Use all of the above to predict consumer behavior or to identify business and operational risks.

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