HR Analytics and Predictive Modeling Training Course | EuroQuest International Training

Human resources has more data than ever, on hiring, performance, engagement, and attrition, yet much of it goes unused while decisions rest on intuition. HR analytics changes that, turning workforce data into insight about what is happening and predictive models about what will happen next. This course gives HR professionals a working command of analytics and predictive modeling applied to real people-decisions.

Participants move from the fundamentals of HR analytics through data collection and management, predictive modeling, and workforce planning, then into engagement and retention analytics and the crucial skill of presenting insight to executives. The course closes on sustaining analytics as an ongoing capability, using HR cases throughout and keeping data privacy and ethics in view.

Why this matters for HR

Workforce costs are among the largest an organization carries, and decisions about hiring, retention, and development have long consequences. HR functions that can forecast turnover, spot skills gaps, and back recommendations with data earn a genuine seat at the strategy table. Those that cannot are left reacting. Building this capability connects closely to the metrics work in the HR Metrics and Workforce Analytics course.

What you will be able to do afterwards

By the end of the course, participants will be able to:

Explain the levels of HR analytics and their strategic value.
Collect and manage HR data with attention to quality and privacy.
Apply predictive models to workforce planning and turnover risk.
Use analytics to understand engagement and retention.
Present HR insight to executives in a compelling, decision-ready way.

Course outline

Unit 1: Introduction to HR analytics

The unit sets out what HR analytics is and why it matters.

Defining HR analytics and its strategic value.
The role of data in HR decision-making.
Levels of analytics: descriptive, predictive, prescriptive.
Case studies of HR analytics success.

Unit 2: Data collection and management

Participants examine the data foundation analytics depends on.

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

The unit covers forecasting people-outcomes.

Key concepts in predictive analytics.
Applying predictive models to workforce planning.
Identifying turnover risks with predictive insight.
Worked modeling examples.

Unit 4: Workforce planning and forecasting

Participants study planning the workforce with data.

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

The unit turns data toward keeping people.

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

Participants learn to communicate insight that drives action.

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

The closing unit addresses making analytics a lasting capability.

Embedding analytics into HR strategy.
Monitoring and improving predictive models.
Building a data-driven HR culture.
A roadmap for long-term analytics success.

How the course is delivered

The course combines structured teaching with HR case studies and guided analysis of workforce data and predictive models. Participants work through analytics on realistic HR examples, so the methods and the judgment to apply them transfer to their own function. The emphasis is on applied reasoning; deep statistical or programming skill is not required.

Who should attend

The course suits HR managers and business partners, people analytics and HRIS staff, talent and workforce planners, and HR professionals moving toward a more strategic, data-driven role. A basic comfort with data is helpful but advanced statistics are not assumed.

About EuroQuest International Training

EuroQuest International Training is an international training provider founded in 2015, with a catalog of more than 1,000 courses delivered to over 15,000 participants. Headquartered in Bratislava, EuroQuest runs courses across a network of European and regional training hubs and focuses on practical, current, and professionally relevant content.

Frequently asked questions

Do I need statistical or technical skills for this course?

No. The course explains predictive modeling concepts and how to apply and interpret them, so HR professionals can use analytics without building models from scratch. It focuses on judgment and application rather than statistical theory.

How does the course handle employee data privacy?

Data privacy and compliance are treated as a core part of HR analytics, since people data is sensitive. The course covers managing data responsibly and within regulation as part of doing analytics properly.

Will the course help me influence senior leaders?

Yes. A full unit addresses presenting HR insight to executives, building dashboards, and communicating findings persuasively, since analytics only creates value when it changes decisions.

Related courses

Register for this course

To reserve a place or request an in-house session for your team, contact EuroQuest International Training and our team will help you confirm dates and details.