UCI - Human Resources Analytics 

• HR Managers and Directors: Those responsible for strategic HR decisions who need to incorporate data-driven approaches into their strategies.
• HR Generalists: Professionals seeking to broaden their skill set with analytics to enhance their day-to-day HR functions.
• HR Analysts: Professionals already working with HR data who want to deepen their analytical skills and learn new methodologies.
• Data Scientists: Those interested in applying advanced analytics techniques and machine learning models to HR data.

• Grasp the basic concepts and principles of HR analytics.
• Understand the role and importance of analytics in the HR function and its impact on organizational performance.
• Learn to identify relevant HR data sources and methods for data collection.
• Understand data management practices, including data cleaning, data integration, and ensuring data quality.
• Identify and understand essential HR metrics and KPIs, such as turnover rates, time-to-hire, employee engagement, and performance metrics.
• Learn to align HR metrics with organizational goals and objectives.

With advances in technology and cloud computing, there are now numerous data sources available to guide decision-making and drive organizational success

Harvesting the right kind of data requires that HR teams possess strong analytical skills; high-performing HR teams know that their function is to leverage data as a decision science by identifying metrics and data sources that deliver organizational insights

In order to do so, HR must ensure that metrics and measures are used effectively to achieve strategic goals

This course focuses on identifying effective data sources, developing meaningful metrics, designing long-term measures, and applying results in support of organizational strategy and tactics