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Data Analysis StrategiesEvery assessment tool will produce particular forms of data. Matching, tool, data, and analysis strategy is critical to getting valuable information that will help you answer questions about what/how students are learning in your classes. See the table below for some common data types with corresponding data analysis strategies. Contact the director of assessment for help selecting assessment tools and/or analysis strategies. Data TypeAnalysis Strategies Test

track.  These students should expect to spend at least 16 months completing the program in a full-time status.Course schedule for students completing the degree in 9 monthsFall Semester BMBA 504: Quantitative Methods for Decision Making (4) – Online BMBA 511: Accounting for Decision Making (4) BMBA 513: Marketing Management (4) BMBA 515: Organizations, Leadership and Change Management (4) BMBA 522: Quantitative and Managerial Decision Analysis (4) J-Term (and/or Summer) BMBA 509: Global Business

Literature AnalysisLiterature analysis is the cornerstone of many college classes, in subjects ranging from English literature to history. Literature analysis papers as you to consider how and why a literary text was written and conveys some kind of message. The ability to take apart a text and break it down into its separate parts enables you to judge how effective an author’s argument is, what symbols or motifs are important throughout the novel, poem or other text, and ultimately, to

becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data… Data science spans a broader array of activities that involve applying principles for data collection, storage, integration, analysis, inference,  communication, and ethics. — National Academy of Sciences (NAS), 2018 The Data Science Minor is ideal for students

Course Title CSCI 115 Solve It With the Computer - QR CSCI 120 Computerized Information Systems - QR

that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data…. Data science spans a broader array of activities that involve applying principles for data collection, storage, integration, analysis, inference, communication, and ethics. — National Academy of Sciences (NAS), 2018 The Data Science Minor is ideal for students who would benefit from in-depth experiences managing, analyzing, and visualizing

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Connecting with Customers through Data MiningMSMA candidates work diligently for 10 months with a variety of projects both in and out of the classroom. This semester, the students are working with a compounding pharmacy in Federal Way, WA. This community-focused pharmacy aspires to increase a positive emotional connection with clients.  The MSMA students are tackling this project through data mining and customer relationship management (CRM) techniques. “Conducting research for this pharmacy is

for students who would benefit from in-depth experiences managing, analyzing, and visualizing data. The minor is designed for students from virtually any major, although quantitative literacy at or exceeding the PLU MATH 140 (Precalculus) level is required. 20 semester hours Data science minors must complete a minimum of 20 credit hours in the following areas: Computational and Data Science Foundations (8)  Statistical Foundations (8) Domain-Specific Elective (4) DOMAIN SPECIFIC ELECTIVES Domain