FXUA Computer Science: Essentials of Data Science (EDS)
Issued by
Fairfax University of America
Earners of this badge possess an understanding of the algorithmic and statistical foundations of data science. Students are able to process, analyze, represent, and extract massive data from different forms of datasets. Students have knowledge of various major data science algorithms like Linear Regression, Logistic Regression, Decision Tree, K-Means, Random Forest, and Naive Bayes, to name a few. Finally, students can use algebraic tools to manipulate and analyze datasets like SPSS and MATLAB.
- Type Validation
- Level Foundational
- Time Months
Earning Criteria
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Complete COMP 361: Introduction to Data Science. Course requirements and evaluation criteria consist of Projects, Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 362: Data Science Mathematical Foundations. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 363: Data Science Algorithmic Foundations. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 364: Statistics Essentials for Data Science. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 480: AWS Test Preparation for Cloud Practitioner Certificate. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 484: Microsoft Certified Azure Data Scientist Associate. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.