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What is DataFest? DataFest is a competition sponsored by the American Statistical Association (ASA) where teams of up to four students participate in a weekend-long data analysis session. Teams are given large and complex sets of data from real-world organizations and businesses, and the teams’ results may have an impact on research, policies, or decisions in those institutions. Over the course of two days, teams work around the clock to create a thoughtful analysis to present to the judges and

of community case management of malaria that showed significant impact at reducing the burden of malaria and was subsequently scaled up throughout Senegal. Ms. Linn spent several years working for Johns Hopkins University on the Demographic and Health Surveys Program supporting national statistical agencies and ministries of health in developing countries on the use of health data for decision making. For the past two years, she has served as a malaria technical advisor for the U.S. Agency for

University will not base its decisions under this policy solely on law enforcement reports and/or action. The University will take every possible step to coordinate with law enforcement and also will take steps to resolve the Formal Complaint within the University process in a timely manner. F. Reporting Prohibited Conduct to Law Enforcement and for Statistical DisclosureCommunity members who believe any Prohibited Conduct they have experienced may be criminal in nature will receive support and

work in highly creative fields, including business, education, computing, non-profit organizations, music, and public service. Interested in joining them? Program Influences Professor Junichi Tsuneoka is an Assistant Professor in the Department of Communication, Media, and Design Arts Professor Michael Halvorson, Benson Chair of Business and Economic History Innovation Studies at PLU was one of the first fully-developed academic programs in the Pacific Northwest to study innovation

How Innovative was the Apple II? By Damian Alessandro ’19. In most popular histories of computing, the Apple II personal computer (1977) stands out as a pathbreaker among early devices in the PC Revolution. But how innovative was Apple’s first mass-market computer, and what design features and ideas helped it stand… July 23, 2018 Apple IIconvivial toolsDamian Alessandroinnovation studiesSteve Wozniak

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of the IBM sponsored courses. Program Outcomes Upon completion of the program, you will develop the following knowledge, skills and abilities: Understand and apply statistical concepts and methods and know how to apply them to data analysis and modeling. Develop advanced skills in Microsoft Excel for data analysis, manipulation, and visualization. Be proficient in Python for data analysis, manipulation, visualization, and predictive analytics. Develop the ability to query and manage large

SPSSSPSS is a widely used statistical program utilized by many departments on the PLU campus.  As of September 2011, PLU has purchased a license that includes at-home use for faculty, staff, and students.  This license includes the SPSS Base, Advanced and Regression modules and allows any member of the PLU community to download, install and license a copy of the program on a personal machine.  Please follow the instructions below to download and install SPSS on a personally-owned machine.  If