Corporate HR Analytics & Reporting Training Course

In this module, professionals introduce HR analytics and reporting concepts. Professionals learn about using data to inform HR decisions, the types of data to be analyzed, and the tools and technologies commonly used in HR analytics.

This module focuses on the process of collecting and preparing HR data for analysis. The team learns how to identify the relevant data sources, clean and transform data, and create a data pipeline which can be used for ongoing reporting and analysis.

In this module, the team gets an idea of using descriptive analytics to summarize and visualize HR data. Teams understand how to create meaningful charts and graphs and use metrics such as averages, medians, and standard deviations to describe data.

This module introduces professionals to predictive analytics and how it can be used to forecast future HR outcomes. Professionals know how to use statistical modeling techniques to predict employee attrition, forecast hiring needs, and identify factors.

Here Workforce learns how to use prescriptive analytics to optimize HR outcomes. The Workforce uses optimization techniques to create effective employee schedules and identify optimal compensation plans.

Professionals understand how to present HR analytics results, use data visualization techniques to create effective dashboards and reports that can be used to communicate insights to stakeholders. 

In this module, the Workforce learns about the ethical considerations involved in HR analytics, including the importance of data privacy and security. The Workforce also understands how to ensure that data is collected and used ethically and responsibly and how to address potential ethical issues that may arise in using HR analytics.