FXUA Computer Science: Advanced Data Science (ADS)
Issued by
New Lines Institute
Earners of this badge are capable of manipulating, storing, and analyzing large volumes of structured, mostly relational, data. Students possess deep knowledge of algorithms and applications in data warehousing, online analytical processing, classification and predication, cluster analysis, implementations, and applications of mining complex data (sequential and structured, stream, text, web, spatiotemporal, biomedical, etc.) in databases such as Hadoop, HBase, and Oracle NoSQL, to name a few.
- Type Validation
- Level Advanced
- Time Months
Skills
Earning Criteria
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Complete COMP 396: Internship in Data Science. Course requirements and evaluation criteria consist of Project Proposals, Monthly Reports, and Site Supervisor Reports.
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Complete COMP 416: Computer Vision and Image Processing. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 443: Data-Intensive Distributed Computing. Course requirements and evaluation criteria consist of Assignments, Participation, Projects, and Written Exams.
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Complete COMP 444: Special Topics in Data Science. Course requirements and evaluation criteria consist of Projects, Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 483: IBM AI Engineering Professional Test Preparation. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 485: SAS Certified Data Scientist. Course requirements and evaluation criteria consist of Assignments, Midterm Exam, and Final Exam.