On this course, you will learn about the sources, concepts, and techniques for gathering data related to human capital.
You will understand the need for making better business decisions, acquiring basic analytical skills, and their application based on previous data analytics.
Identifying and creating HR metrics and KPIs to monitor all processes in the HR department.
Using predictive analytics models, namely models for predicting future possible scenarios and events in the HR domain.
This course is designed for HR professionals, or those working in HR departments, who want to build a career in this field.
Over the past two decades, the electronic-information revolution has triggered global and drastic changes in all spheres of business. We have witnessed how the function of human resources management has evolved in step with technological advancement and, in doing so, is confronted with a vast amount of data, at the expense of useful and important information becoming increasingly scarce.
These trends and challenges enable HR professionals with tremendous potential and opportunity to apply data analytics in their domain of operation.
The data analytics within the field of human resources, as one aspect of business analytics, implies a broad application of statistical, quantitative analyses, and data modeling, aimed at making better decisions and managing relevant facts and insights related to human capital.
Human capital analytics is an innovation in human resources management, involving activities and practices designed to provide greater value to the organization by obtaining significant information about human resources management processes, employee behaviors, and overall organizational success.
Among the key benefits, we highlight the following:
- Understanding the need for making better business decisions based on previous data analytics.
- Acquiring fundamental analytical skills, which are a prerequisite for the successful implementation of HR analytics.
- Analyzing organizational needs and selecting the appropriate level of analytics that would lead to potentially the greatest business value.
- Recognizing the challenges facing the HR function in the field of data analytics in modern conditions.
- Creating a strategy and action plan towards the implementation of HR analytics in the organization.
Identifying and creating HR metrics and KPIs to monitor: the effectiveness of the HR function, the HR department, the
- human capital within the organization, its characteristics and behaviors, as well as the success of the entire organization.
- Applying functions and developing basic descriptive HR analytics in Excel.
- Using Pivot Tables to transform data into visualizations and create interactive/dynamic reports in Excel.
- Analyzing, interpreting, and presenting dynamic reports.
- Developing and using predictive analytics models, i.e., models for predicting future possible scenarios and events in the HR domain.
- Familiarizing oneself with software tools for modeling and predicting data based on artificial intelligence, with a focus on preventing and reducing voluntary turnover in the organization.
Certificate of completed training from Certiadria LLC