HR Analytics. Scientific Method and Artificial Intelligence. (For HR Specialists)

Description

Objectives

This training program is designed for HR specialists who want to enhance their skills in HR Analytics. The program will explore critical constructs in HR management, such as motivation, performance, well-being, resilience, and turnover. It will provide participants with a comprehensive understanding of the use of data and evidence-based approaches in HR decision-making. The program will also emphasize the importance of using scientific literature and integrating AI into HR Analytics.

Take away

Participants will learn to use descriptive and predictive statistical elements to analyze HR data and make informed decisions. The program will include case studies on diversity analytics, employee performance, selection, and assessment analytics. It will also give participants a practical understanding of tools such as Excel or advanced tools.

Participants

HRM professionals.

Program

Introduction to HR Analytics

• Overview of HR Analytics
• The role of data and evidence-based approaches in HR management
• Overview of statistical elements used in HR Analytics
• Introduction to the use of Excel or advanced tools for HR Analytics
• Introduction to the use of Generative Artificial Intelligence for HR Analytics

Descriptive HR Analytics

• Overview of descriptive statistics in HR Analytics
  • Scales and graphical representation
  • Central Tendency and Dispersion
  • The use of graphs to represent descriptive statistics
• Analysis of employee turnover, motivation, and well-being
• Overview of diversity analytics
• Case studies and practical exercises using Excel and Generative Artificial Intelligence

Predictive HR Analytics

• Overview of Predictive Statistics in HR Analytics
  • The mechanic of inferential statistics
  • Sample and population
  • Concept of Power, generalization, confidence and causality
  • Measuring Effect Size
  • Predictors and outcomes variables
• Analysis of employee performance and selection
• Overview of assessment analytics
• Introduction to SPSS/R and advanced HR Analytics tools
• Case studies and practical exercises using Artificial Intelligence
• Discussion of the integration of AI in HR Analytics

This training program will have a practical approach, with examples and case studies using Excel and Generative Artificial Intelligence. Participants will be encouraged to apply their learned concepts to real-life HR scenarios. By the end of the program, participants will have a solid understanding of the role of data and evidence-based approaches in HR management. They will be equipped with the skills they need to carry out descriptive and predictive HR Analytics, including AI.

Documentation

The documentation used in the classroom will be made available for consultation to participants through the huract.online LMS (Learning Management System) for one year from the course date.