The Future of Work: HR Trends and Adaptation in Barcelona is a forward-thinking training course designed to prepare HR professionals for emerging challenges and opportunities in the workplace.
From:
12-01-2026
Course Overview
HR analytics and predictive modeling are transforming how organizations manage people strategy. This HR Analytics and Predictive Modeling Training Course provides HR leaders and professionals with frameworks to collect, analyze, and interpret workforce data for improved decision-making.
Through case studies, analytics tools, and predictive modeling exercises, participants will learn to forecast workforce trends, assess talent risks, and align people strategies with organizational goals.
The course ensures HR leaders can drive measurable business impact by using data to support recruitment, retention, engagement, and performance initiatives.
Course Benefits
Strengthen data-driven HR decision-making.
Apply predictive modeling to workforce planning.
Improve recruitment, retention, and engagement outcomes.
Align HR analytics with business strategy.
Gain confidence in interpreting and presenting data insights.
Course Objectives
Understand the foundations of HR analytics.
Collect and analyze workforce data effectively.
Apply predictive modeling to HR challenges.
Forecast talent needs and workforce risks.
Use analytics to enhance employee engagement and retention.
Present HR insights to influence executive decisions.
Build sustainable people analytics systems.
Training Methodology
The course uses interactive lectures, HR data case studies, predictive modeling workshops, and hands-on analytics exercises. Participants will apply data tools to real HR scenarios.
Target Audience
HR executives and senior leaders.
People analytics and workforce planning professionals.
Organizational development specialists.
Managers seeking data-driven HR decision-making skills.
Target Competencies
HR analytics.
Predictive modeling.
Workforce forecasting.
Data-driven HR strategy.
Course Outlines
Unit 1: Introduction to HR Analytics
Defining HR analytics and its strategic value.
The role of data in HR decision-making.
Levels of HR analytics: descriptive, predictive, prescriptive.
Case studies of HR analytics success.
Unit 2: Data Collection and Management
Sources of HR data (internal and external).
Ensuring data accuracy and integrity.
HR information systems and data platforms.
Managing data privacy and compliance.
Unit 3: Predictive Modeling in HR
Key concepts in predictive analytics.
Applying predictive models to workforce planning.
Identifying turnover risks with predictive insights.
Hands-on modeling exercises.
Unit 4: Workforce Planning and Forecasting
Using analytics to forecast workforce needs.
Skills gap analysis through data.
Scenario planning with predictive tools.
Aligning workforce forecasts with strategy.
Unit 5: Employee Engagement and Retention Analytics
Using data to understand employee engagement.
Predicting retention and attrition patterns.
Linking analytics to performance management.
Case examples of engagement analytics.
Unit 6: Presenting HR Insights to Executives
Building HR dashboards and reports.
Communicating data insights effectively.
Influencing decision-makers with analytics.
Visualization tools for HR leaders.
Unit 7: Sustaining HR Analytics Systems
Embedding analytics into HR strategy.
Monitoring and improving predictive models.
Building a data-driven HR culture.
Roadmap for long-term analytics success.
Ready to lead HR with data-driven insights?
Join the HR Analytics and Predictive Modeling Training Course with EuroQuest International Training and harness analytics to transform HR strategy.
The HR Analytics and Predictive Modeling Training Courses in Barcelona provide professionals with the knowledge and practical skills to harness data-driven insights for strategic human resource management. Designed for HR managers, talent analysts, organizational development specialists, and senior HR leaders, these programs focus on leveraging analytics and predictive modeling to enhance decision-making, workforce planning, and organizational performance.
Participants explore the core principles of HR analytics, workforce data management, and predictive modeling, including employee performance analysis, turnover prediction, recruitment optimization, and talent development planning. The courses emphasize how data-driven approaches can improve accuracy, reduce bias, and support evidence-based HR strategies. Through case studies, practical exercises, and real-world simulations, attendees learn to collect, analyze, and interpret HR data to identify trends, forecast workforce needs, and implement actionable insights.
These HR analytics and predictive modeling training programs in Barcelona blend theoretical frameworks with applied practice. Participants gain tools for designing HR dashboards, implementing predictive models, measuring key performance indicators, and aligning workforce analytics with business objectives. The curriculum also addresses data privacy, ethical use of employee data, and strategies to communicate insights effectively to stakeholders, ensuring that analytics initiatives support both organizational goals and employee trust.
Attending these training courses in Barcelona provides a unique advantage, as the city’s international business and technology ecosystem offers real-world exposure to advanced analytics applications and innovative HR practices. Participants benefit from expert-led instruction, peer collaboration, and practical exercises that reflect global best practices. By the end of the program, professionals will be equipped to apply HR analytics and predictive modeling to enhance workforce planning, optimize talent management, improve employee engagement, and drive strategic organizational outcomes—positioning their organizations for data-driven success in the modern human resources landscape.