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Use of Analytics

Self-Paced4 Course Hours | 12 Weeks
View Course
HR Management
Use of Analytics


Understanding people analytics and how it can benefit an organization is becoming increasingly important in today's workplace. In this course, you will learn how human resources professionals use analytics to attract, retain, and support employees. You will explore case studies that demonstrate how analytics are used to attain goals, such as improving retention. You will explore ethical practices of using data, different applications of metrics, and various sources of data collection. This course also teaches you how to use analytics to support collaboration and present data. People analytics is a top investment goal for companies. Learn how analytics can help you to evaluate an organization's needs, gather data, make ethical and informed decisions, reduce bias, and achieve strategic goals.


  • IACET CEUs: 0.4
    • SHRM PDCs: 4


      • Mobile-friendly
      • Real-world case studies
      • Fully accessible
      • Games & Flashcards
      • Over 300 practice questions
      • Expert-supported
      • Video content

      learning Outcomes

      • Explain how human resources professionals use people analytics
      • Differentiate between HR analytics, people analytics, human capital analytics, and workforce analytics
      • Compare descriptive analytics, diagnostics analytics, predictive analytics, and prescriptive analytics
      • Explain case studies where analytics is used to achieve strategic goals
      • Explore the advantages of using data analysis in different parts of the employee lifecycle
      • Identify and explain commonly-used HR metrics
      • Explore different sources of data collection, including applicant tracking system (ATS), candidate relationship management (CRM), and human resource information system (HRIS)
      • Explain ethical practices of collecting, storing, using, and analyzing data
      • Describe how analytics supports collaboration
      • Compare different modes of communicating and presenting data

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