Research and Data Analysis

HR Analytics in Workforce Data and Predictive Models Training Course

Introduction

In the modern digital workforce era, HR Analytics has emerged as a game-changer in strategic decision-making and workforce planning. HR Analytics in Workforce Data and Predictive Models Training Course is designed to empower HR professionals, data analysts, and decision-makers with actionable insights derived from workforce data. By integrating people analytics, predictive modeling, and data-driven talent strategies, this training course transforms raw HR data into powerful business intelligence for talent acquisition, performance management, retention strategies, and organizational effectiveness.

Through real-world case studies, hands-on projects, and cutting-edge analytical tools, participants will explore the full lifecycle of HR data — from collection and cleansing to analysis and actionable insights. With increasing demand for HR professionals who can decode trends in employee behavior and forecast workforce needs, this course equips you with critical skills in predictive modeling, data visualization, and ethical AI use in HR. Whether you’re modernizing your HR strategy or launching a people analytics function, this course will drive measurable business impact.

Programme Curriculum

HR Analytics in Workforce Data and Predictive Models Training Course

Introduction

Learning Objectives

Understand the fundamentals of HR analytics and its business impact
Use data-driven decision-making to enhance HR functions
Apply predictive models to anticipate talent trends
Master data visualization for HR reporting and dashboards
Analyze workforce diversity and inclusion metrics
Build retention strategies through attrition modeling
Utilize performance metrics for leadership development
Apply sentiment analysis to employee feedback
Create recruitment models for talent acquisition
Integrate machine learning in HR analytics workflows
Evaluate ethical considerations in HR data usage
Align HR analytics with organizational KPIs
Develop a data-driven culture within the HR department

Target Audience

HR Managers and Executives
Data Analysts and HR Analysts
Talent Acquisition Professionals
Organizational Development Specialists
Workforce Planners and Strategists
Business Intelligence Professionals
HR Consultants and Advisors
MBA and HR Students

Course Duration: 5 days

Course Modules

Module 1: Introduction to HR Analytics

Understanding HR data sources
Key metrics in workforce analytics
The role of analytics in HR strategy
Overview of descriptive, diagnostic, and predictive analytics
Common tools in HR analytics
Case Study: IBM’s use of people analytics to drive employee engagement

Module 2: Data Collection and Cleaning Techniques

Identifying reliable HR data sources
Data integration across systems (HRIS, ATS, LMS)
Techniques for data cleaning and normalization
Ensuring data accuracy and consistency
Data privacy and GDPR compliance
Case Study: LinkedIn’s data hygiene practices in HR analytics

Module 3: Descriptive and Diagnostic Analytics

Analyzing historical HR data for trends
Root cause analysis of turnover
Identifying key performance indicators
Workforce segmentation and cohort analysis
Reporting tools and dashboard creation
Case Study: Deloitte’s use of dashboards for turnover insights

Module 4: Predictive Modeling in HR

Introduction to predictive algorithms (regression, classification)
Forecasting attrition and retention
Modeling promotion probabilities
Predicting future workforce needs
Validating and refining predictive models
Case Study: Google’s predictive attrition model success

Module 5: Talent Acquisition and Workforce Planning

Building talent scoring models
Forecasting hiring needs and budgets
Analyzing recruitment funnel metrics
Strategic workforce planning with data
Diversity hiring analytics
Case Study: Unilever’s use of AI in talent acquisition

Module 6: Employee Engagement and Sentiment Analysis

Using surveys and NLP for sentiment analysis
Analyzing employee Net Promoter Score (eNPS)
Engagement drivers and risk factors
Correlating engagement with performance
Real-time pulse surveys
Case Study: Microsoft’s sentiment tracking during remote work

Module 7: Performance & Productivity Analytics

Linking KPIs to individual and team performance
Measuring leadership effectiveness
Monitoring learning and development ROI
Identifying high-potential employees
Using 360° feedback data
Case Study: GE’s use of productivity analytics for performance reviews

Module 8: Ethical Use of HR Data and Future Trends

Bias mitigation in predictive models
Legal frameworks for employee data use
Building transparent analytics practices
Incorporating ethical AI in HR
Emerging HR tech and AI trends
Case Study: Salesforce’s ethical AI policy for people analytics

Training Methodology

Interactive expert-led sessions
Real-time hands-on data projects using Excel, Python & Power BI
Case study analysis and group collaboration
Scenario-based assessments and simulations
Access to HR analytics tools and datasets
Post-training evaluation and certification

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

HR metrics predictive workforce modeling analytics

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000