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• DAT 202: Advanced Analytic Methods

  3.00 Credits

  Community College of Allegheny County

  
  Building upon the principles set forth in prior coursework, students engage in a comprehensive approach to the application of data analytics in the solving of business problems by employing the techniques frequently used in the discipline. Emphasis is placed on the different types of forecasting techniques such as sales, risk, retention and attrition as applied to a variety of industries. Prerequisite:    DAT 204 or instructor permission  
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• DAT 203: Data Visualization

  3.00 Credits

  Community College of Allegheny County

  
  In this course students explore the nuances associated with designing visual representations of quantitative information and implementing those plans using digital tools. As a project-based course, students investigate an inquiry question from inception through presentation. Students explore their inquiry questions by using data visualization as both an analytic tool and an aid to effective communication of data-backed conclusions. Prerequisite:    DAT 129   
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• DAT 204: R for Analytics

  3.00 Credits

  Community College of Allegheny County

  
  This course guides students in the use of the R programming language for data analysis. After exploring the fundamentals of the R language and essential data structures, students learn to manipulate structured data in R in preparation for statistical analysis. Standard statistical data analysis techniques are implemented in R. In addition to mechanical fundamentals, this course is rooted in building skills in sound data analytical thinking: surveying data sets, generating compelling inquiry questions, conducting rigorous quantitative analysis, drawing conclusions rooted in reproducible findings and discussing the limitations of this analysis with a lay audience. Prerequisite:    DAT 119, demonstration of basic proficiency in any other programming language as verified by instructor   
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• DAT 229: Tabular and Linked Data Analysis

  4.00 Credits

  Community College of Allegheny County

  
  In this course, students explore relational databases which underlie many modern data systems. Students acquire foundational knowledge of table schema design, normalization and Structured Query Language (SQL) needed to interact with data sets from many knowledge domains. In contrast to production database systems, course emphasis lies on analytics-focused database skills, which enable students to integrate relational databases in data pipelines ending in analytic and presentation platforms--rather than transactional or logistics applications. Python is used throughout the course to build database schemas, insert data from flat files and third-party repositories and then extract the data for analytic and decision-support endeavors. Prerequisite:    DAT 119 or MMC 150 or CIT 111 or permission of Department Head or instructor.  
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• DAT 241: Geospatial Data Analytics

  3.00 Credits

  Community College of Allegheny County

  
  Students assemble, analyzeand present map-based data in this first course in geospatial analysis. Since many datasets now include spatial components, students approach the exciting sub-field of spatial data analytics with a focus on improving organizational decision making by creating static and interactive maps. To build a foundation of spatial reasoning, students explore map projections and x-y-z coordinate systems through hands-on exercises. Students then engage software tools to digitally represent spatial data from a variety of domains including municipal administration, ecology, transportation, marketingand epidemiology. Finally, the course prepares students to integrate spatial analysis into data pipelines by connecting mapping software packages with relational databases and web servers. Prerequisite:    DAT 102   
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• DAT 281: Project in Data Analytics

  3.00 Credits

  Community College of Allegheny County

  
  This course equips students with hands-on experience designing, implementingand sharing a data-based inquiry project. While fluency in computer-based number crunching remains an essential skill set of a data practitioner, project success also hinges on effective problem scoping with clients and thoughtful packaging of technical results for applicability in the client's work context. To develop these supplemental project skills, this course invites students to experiment with a variety of qualitative research strategies for unearthing foundational client concerns from among peripheral organizational clutter. Equipped with a solid inquiry goal, students implement an industry standard project management framework to strategically prioritize workflows among a team of peer analysts. Use of quantitative evaluation metrics inform review and revision of projects. Prerequisite:    DAT 129 or DAT 204   
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• DIT 102: Dietetic/Foodservice Orientation

  3.00 Credits

  Community College of Allegheny County

  
  This introductory course provides the student with an overview of both the foodservice andclinical aspects of the professional role of the dietetic technician and the dietary manager in a variety of settings. Professional ethics, professional organizations and the team approach are discussed. Field visits, discussion forums and personal portfolio development enhance content.This course requires a per credit health career fee; check the tuition and fee schedule for the current rate.
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• DIT 103: Nutrition Assessment

  3.00 Credits

  Community College of Allegheny County

  
  This course introduces students to the application of the basic principles of normal nutrition. Students learn how to collect and interpret data to be used by a Dietetic Technician, Registered (DTR) / Nutrition & Dietetics Technician, Registered (NDTR) or made available to a Registered Dietitian (RD/RDN) for interpretation. This course includes completing diet histories, calculating nutrient composition of diets using a computer software program, introduction of the Nutrition Care Process and basic nutrition assessment skills. This course requires a per credit health career fee; check the tuition and fee schedule for the current rate. Corequisite:    DIT 106 
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• DIT 104: Foods

  3.00 Credits

  Community College of Allegheny County

  
  This course provides students with an overview of the scientific and consumer aspects of food. A working knowledge of principles of food preparation is combined with menu planning, recipe analysisand costing. This course requires a per credit health career fee; check the tuition and fee schedule for the current rate. Corequisite:    DIT 105L 
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• DIT 105L: Foods Lab

  1.00 Credits

  Community College of Allegheny County

  
  This course covers the study and application of the basic principles of food preparation which includes the study of soups and sauces, starch foods, meats and poultry, fish and shellfish, eggs and desserts. The course culminates in a final luncheon project planned and prepared by the class. Proper use and care of equipment, sanitation and safe work habits are practiced. This course requires a per credit health career fee; check the tuition and fee schedule for the current rate. Corequisite:    DIT 104 
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