Course Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: STAT-0012 Version: 1 Organization: Statistics.com Location: Classroom-based Length: 4 weeks (60 hours) Minimum Passing Score: 70 ACE Credit Recommendation Period: 11/1/2014 - 11/30/2017 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Upper-Division Baccalaureate 3 Computer Science or Programming Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to introduce statisticians to Hadoop, and provide an exemplar workflow for using Hadoop, writing MapReduce jobs, and finally leveraging Hadoop Streaming to conclude work in an analytics programming language such as R. Learning Outcomes: Use Hadoop and the software components of the Hadoop ecosystem Manage data on a distributed file system Write MapReduce jobs to perform computations with Hadoop Utilize Hadoop streaming to output jobs General Topics: Distributed computing environments How to work with Hadoop Computing with MapReduce Hadoop workflows with R Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Case Studies Computer Based Training Discussion Lectures Practical Exercises Methods of Assessment: Other weekly homework assignments Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Equivalencies Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Other offerings from Statistics.com View All Courses College Credit Opportunities Page Content