Students will engage in the data endeavor process in this course, exploring the key stages of acquisition, preparation, analysis, and action in the context of real-world problem-solving. Students will engage in all aspects of applied data analysis in a project-based environment. Statistical, visualization, and database software will be utilized throughout this process with a particular emphasis on exposing students to SQL, in addition to expanding modeling capabilities such as forecasting techniques, applied regression, and machine learning algorithms. Prerequisite: MATH228 or MATH221.
Grade Basis: Letter Grade
Credits: 4.0
老澳门六合彩开奖记录 adheres to all policies of non-discrimination on the basis of age, sex, gender identity, race, color, national origin, ancestry, sexual orientation, military or veteran status, marital status, disability, religion or any other characteristic protected by the current federal, state, and local statutes. Further, the college prohibits discrimination based on genetic information and non-job related arrest record or conviction records for employment purposes.
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