Data Analytics
Data Analysts gather, analyze, and interpret data to make data-driven predictions or decisions. Skills and related topics include database management and security, project management, machine learning, big data, data mining, data extraction, data manipulation, data analysis, and data visualization. Analysts communicate analytical results and recommendations to technical and non-technical audiences.
Concord University’s Data Analytics curriculum provides students with the technical abilities and professional skills to gather, analyze and interpret data, facilitating decision-making. Students will be introduced to a wide range of data analysis concepts such as database management and security, project management, machine learning, big data, data mining, data extraction, manipulation, analysis and visualization. Students will develop the skills to communicate analytical results and recommendations to technical and non-technical audiences. This program helps students develop the skills and knowledge to extract meaningful and useful information from raw data to make data-driven predictions or decisions.
Students take a common core of courses, but then choose one of five elective concentrations: Accounting, Finance, Mathematics, Geospatial Science, or Interdisciplinary.
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