Jul 22, 2018  
2017-2018 Graziadio Academic Catalog 
    
2017-2018 Graziadio Academic Catalog [ARCHIVED CATALOG]

DESC 638 Human Resource Analytics and Insights (2)


The availability of data to organizations affords business leaders the opportunity to analyze and improve the impact of HR processes and initiatives on strategic business outcomes. Workforce-related metrics can offer companies valuable information about their talent pool to evaluate and improve practices including talent acquisition, compensation, development, productivity, retention, and overall organizational performance. The course focuses on the tools and skills needed to make evidence based linkages between HR and organizational performance including data analytic techniques, interpretation, and reporting of analyses to decision makers. The student will understand the application of appropriate statistical techniques for the types of date and decisions they need to address.

Student Learning Outcomes
  1. Given a description and demonstration of statistical concepts, techniques, and calculations, students will be able to perform and interpret statistical analyses within the scope of topics listed in the Course Plan.
  2. Given demonstrations of the use of Microsoft Excel tools for statistical analysis, students will be able to match appropriate tools to types of data and analysis goals, and to perform the targeted analysis with the Excel tool.
  3. Given a survey of statistical techniques outlined in the course plan, students will be able to name and explain all techniques, including matching appropriate techniques to specified analysis goals and HR applications.
  4. Given a description and examples of basic principles of research, including the production of data, analysis and findings, students will be able to: 1. Define key terms and concepts associated with common HR research projects, 2. Recognize various research designs when given in a case problem, and 3. Determine appropriate statistical analysis to use for the research question posed.
  5. Given examples of statistical reporting, students will be able to generate appropriate statistical reports, including description of the research problem, formulation of research questions, selection of statistical methods, analysis of data/testing, and a summary of key findings.
Grading Basis: Graded