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EXHIBIT B <br />COMPETENCIES <br />Title of Training: Data Science <br />Training Provider Name: UCI Division of Continuing Education <br />Training Length: 195 Hours 47 Weeks <br />*Listed below are skills, knowledge, and abilities a student will have obtained <br />upon completion of training; completion of training is based on the overall <br />Completion of Coursework. (Completion of coursework: overall score of at least 73%.) <br />*Student will be able to: <br />Competency Measurement <br />Minimum Score <br />Utilize a combination of science, art & business techniques <br />Coursework <br />73% <br />1 <br />to deliver new insights and competitive intelligence <br />Describe the phases of the analytics lifecycle <br />Coursework <br />73% <br />2 <br />Utilize a variety of statistical and computer science tools <br />Coursework <br />73% <br />3 <br />and techniques to analyze data <br />Describe and use the typical tools and technologies <br />Coursework <br />73% <br />4 <br />required to model and analyze large (big) datasets <br />Explain the use of typical tools to explore data (R. <br />Coursework <br />73% <br />5 <br />STATISTICA, Hadoop, etc.) <br />6 <br />Utilize an inquisitive 'hacker" mentality to uncover new <br />Coursework <br />73% <br />meaning from existing data <br />7 <br />Effectively design, model and manage databases <br />Coursework <br />73% <br />Define requirements, develop an architecture, and <br />Coursework <br />73% <br />S <br />implement a data warehouse plan <br />ffectively design, model and manage databases <br />Coursework <br />73% <br />9 <br />Describe and utilize unstructured and structured data sets a <br />Revised October I, 2016 <br />