Advanced HR Analytics and Forecasting for Leaders Course
24-hour executive HR Analytics training program
Copilot & Automation Sandbox for attrition forecasting
Expert-led training by senior HR practitioners
6 modules & practical simulations with global HR datasets
Flexible learning options with easy instalments
4.9/54300 EnrolledEnrolled Learners
4.9/54300 EnrolledEnrolled Learners
Overview
What you will master with us
- Build predictive workforce models to accurately forecast talent demand and gaps
- Master advanced forecasting techniques, including time-series, regression and machine learning
- Connect HR data and workforce insights directly to business performance outcomes
- Develop the ability to create actionable HR dashboards that align with organisational goals
- Apply advanced statistical methods to measure and improve HR processes and outcomes
Upcoming sessions
Curriculum
1
Aligning HR metrics and KPIs with business objectives
2
Critical HR data sources and governance
3
From reporting to strategic workforce insights
1
Forecasting attrition, hiring demand, and engagement trends
2
Introduction to regression and predictive modeling logic
3
Translating data patterns into leadership decisions
1
Time-series analysis for workforce demand planning
2
Regression models for attrition and performance forecasting
3
Introduction to machine learning concepts in HR
1
Data-driven workforce planning strategies
2
Talent pipeline forecasting and succession modeling
3
Cost optimization through predictive insights
1
Connecting workforce insights to organizational performance
2
Using analytics to support talent management and succession planning
3
Ethical considerations: bias, privacy, and data governance
1
Application of predictive models to real-world workforce challenges
2
Industry options: IT, Healthcare, Manufacturing, Retail, Financial Services, Logistics, Education
3
Development of a data-backed workforce strategy
4
Executive presentation of strategic recommendations
Meet your Trainer
Our Expert Instructors
We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.
Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.
Learning Outcomes
Upon completion, you will be able to:
1
Build workforce forecasting models to predict hiring demand, turnover risk, and capability gaps
2
Analyse HR datasets to identify trends in performance, engagement, absenteeism, and retention
3
Create HR dashboards and KPI frameworks that support leadership reporting and workforce decisions
4
Apply predictive techniques to evaluate talent acquisition channels and improve recruitment planning accuracy
5
Interpret analytics outputs clearly and present evidence-based recommendations to senior stakeholders
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
The eligibility requirements for the Advanced HR Analytics and Forecasting for Leaders Course are:
- Familiarity with spreadsheet-based analysis or dashboard interpretation
- Working knowledge of HR KPIs and reporting tools
- 5+ years of experience in HR, HR operations, workforce planning, HRBP, or analytics-led management
Overall ratings by our students
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Frequently asked questions
The Advanced HR Analytics and Forecasting for Leaders course is an executive-level program that spans over 24 hours and 6 modules. It teaches HR professionals how to apply predictive analytics and data-driven techniques to workforce planning and talent strategy.
The sessions covers forecasting models, attrition analysis, HR data interpretation, and ethical people data practices. The course includes real datasets, simulations, AI tools and an industry-aligned strategic project to ensure immediate workplace applicability and measurable business impact .
Advanced HR Analytics and Forecasting for Leaders is for mid- to senior-level HR professionals. It suits HR business partners, talent leaders, and workforce planners. This executive program helps experienced practitioners turn HR data into predictive insights. It enables leaders to align people strategy with business goals and drive measurable organiaational impact.
Participants will learn how to apply advanced HR analytics to solve a wide range of critical HR challenges, enabling them to drive better workforce decisions and improve organisational performance.
Here are some of the key problems addressed in this course:
1. Predicting turnover and identifying high-risk employees using predictive HR analytics
2. Workforce forecasting to anticipate hiring needs, skill gaps, and capacity requirements
3. Enhancing talent management analytics for better recruitment and employee retention strategies
4. Using HR data analysis to uncover patterns in employee performance, engagement, and absenteeism
5. Identifying talent shortages and optimising workforce planning across multiple departments
6. Integrating human resources analytics to align HR strategy with overall business objectives
The Advanced HR Analytics and Forecasting for Leaders course emphasises ethical and responsible handling of people data. It ensures participants understand the critical principles of fairness, privacy, and transparency when working with sensitive HR data. By focusing on ethical HR data analysis, the course equips HR leaders to make informed decisions while maintaining employee trust and adhering to global privacy regulations, such as GDPR.
Yes. This course integrates Microsoft Copilot into every stage of learning so participants can apply AI within real HR analytics work. You will learn to categorise KPIs, interpret workforce patterns, support forecasting logic, and prepare executive-ready recommendations. This makes the training highly practical for professionals who want to strengthen both analytics capability and AI-enabled decision-making.
The Advanced HR Analytics and Forecasting for Leaders course enables HR leaders to support workforce decisions with data-driven insights that resonate with senior management. By mastering predictive HR analytics and workforce forecasting, HR leaders can present clear, evidence-based recommendations for talent acquisition, retention, and performance management.
Participants will learn to use HR data analysis to forecast future needs and measure outcomes. They will also demonstrate the ROI of HR initiatives, making workforce decisions more transparent and defensible to stakeholders.
Yes. This course strengthens HR leadership skills by equipping HR leaders with the ability to use analytics in HR to inform strategic decisions. With a focus on predictive HR analytics and workforce forecasting, HR professionals can position themselves as key contributors to organizational strategy, driving both short-term and long-term workforce success.
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