10 courses with the subject ADA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
ADA 363Introduction to Data Analytics and Big Data3
A first course in applied analytics. Topics include: the purpose of data analytics and its role in decision-making and problem-solving. Further, this course introduces students to the most widely used methodologies and the BADIR method for decision-making.
The course allows students to provide insight into the past by using common and new tools in analytics. Specifically, this course addresses how aggregate analysis, data visualization, and text and video analysis are used to investigate questions among various disciplines. Prerequisite: ADA 363, CSC375, and MTH160.
The course allows students to provide insight into the future by using common and new tools in the field of analytics. Specifically, this course addresses how correlation analysis, regression, and time series is used to investigate future questions (e.g. what could happen) within various disciplines. SAS University Edition software will be used in the course. Prerequisite: ADA 363, ADA 364, and MTH160.
This course prepares students to think analytically and quantitatively by review of salient concepts in research, and statistics. Specifically, students will review the steps in the Scientific Method, focusing on clarifying the research question, data collection, preparation and analysis. Statistical concepts include data types, measures of central tendency and variance; correlation, regression, ANOVA, and common tools of data visualization SAS® On Demand software will be used in the course. The course culminates in a class project, where students practice story telling in the context of managerial decision-making. Knowledge of excel is recommended.
In this course, students will examine the status of Big Data and its impact on the business world, framing analytics challenges using a structured life cycle approach to data analytics problems (SAS®) and the skill of storytelling. Emphasis will be placed upon the verification of data, analytic techniques and open source tools for analyzing data, the role of regulatory organizations, and the privacy and ethics issues that surround its use. Prerequisite: ADA 501.
ADA 504Advanced Applied Descriptive Analytics for Decision Making3
The course allows students to investigate the past performance of organizations through interpretation and application of advanced tools in analytics. Specifically, this course addresses how aggregate analysis, data visualization, and text and video analysis are applied to complex, high volume data. Emphasis will be placed on storytelling. SAS® On Demand software will be used in course. Prerequisites: ADA501 and ADA502.
ADA 505Advanced Applied Predictive Analytics for Decision Making3
The course allows students to explore and analyze future operating problems and opportunities by applying advanced tools in predictive analytics. Specifically, this course reviews basic regression and applies correlation analysis, multiple regression and time series analysis to future operating questions (e. g., what 269 | A v e r e t t U n i v e r s i t y A c a d e m i c C a t a l o g 2 0 2 6 - 2 0 2 7