This course provides an overview of recruitment analytics and the benefits of a data-driven approach to recruitment. You will learn to identify and calculate common recruiting metrics, like time to fill, cost per hire, and source conversion. You will also see how data can be gathered, visually displayed, and analyzed to gain an understanding of the recruitment process and to make improvements when necessary. The predictive analytics lifecycle will also be discussed, along with the way that data patterns over time can be used to make predictions about sourcing, performance, and attrition. And, we will look at the ways that applicant tracking systems (ATSs) support the analytics process by gathering data and sharing key recruitment metrics in real time.
, Diversity and Inclusion, Human Resource Management
1.50 HR Credits
Recruiting multi-generational employees is crucial in a world where more individuals are putting off retirement and making later-in-life career changes.
, Human Resource Management
4 HR Credits
Understanding people analytics and how it can benefit an organization is becoming increasingly important in today's workplace.
, Human Resource Management
4 HR Credits
In this course, you will learn how human resources professionals use analytics to support employee health and wellness, evaluate training and development programs, and make appropriate staffing decisions that support strategic goals.
