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analyzed by selecting routine analyses from a series of menu items (e.g., arguments must be made for appropriate covariates), OR Data are not easily presented (e.g., requires sophisticated visualization techniques) Approved courses include: BUSA 310: Information Systems and Database Management (4) BUSA 467: Marketing Research (4) COMA 342: Applied Research (4) CSCI 330: Artificial Intelligence (4) CSCI 367: Databases and Web Programming (4) ECON 344: Econometrics (4) GEOS 331: Maps: Computer-Aided

., makes use of intricate study design; requires in-depth survey design), OR Data are not easily managed (e.g., data are messy; data set is excessively large; data are not easily synthesized), OR Data are not easily analyzed by selecting routine analyses from a series of menu items (e.g., arguments must be made for appropriate covariates), OR Data are not easily presented (e.g., requires sophisticated visualization techniques) A list of pre-approved courses is given below.  Students may petition for

Socially Distant Ceramics Class Over the summer, professors and staff prepared for the unfortunate reality that many parts of classes would need to be conducted remotely. Kits were prepped and picked up by local students and mailed to those further afield. Thankfully, our sculpture studio has a high level… October 29, 2020 3D artceramicsstudent art

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

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

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New Delete Data Science Academic Programs all programs program website Data Science Undergraduate Major & Minor College of Natural Sciences It’s FREE to apply to PLU When you're ready, we're here. Apply now and fulfill your potential! Get Started Related Programs: Computer Science Mathematics DISCOVER About Calendar Campus Map Land Acknowledgement Careers at PLU Lute Locker PLANNING Student Payments Textbooks Make a Gift Conference Planning RESOURCES Privacy Non-Discrimination Policy Accessibility

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

Data Science Our society increasingly values decisions that are supported by data. PLU graduates who can enter their vocations and their communities with experience of collecting, managing and analyzing data will be empowered to lead and serve more thoughtfully, skillfully, and rationally. Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills