Description
Certification Name: Certificate in HR Analytics & Workforce Planner
Course Id: CHRAWP/Q0001.
Eligibility: Graduation or Equivalent.
Objective:The Certified HR Analytics & Workforce Planner course is designed to empower HR professionals with the analytical and strategic planning skills needed to make data-driven talent decisions and align workforce strategies with organizational goals. The course covers key areas such as HR data collection and interpretation, predictive and prescriptive analytics, workforce segmentation, capacity planning, talent supply-demand forecasting, and dashboard reporting.
Duration: Three Month.
 How to Enroll and Get Certified in Your Chosen Course:
 Step 1: Choose the course you wish to get certified in.
 Step 2: Click on the “Enroll Now” button.
 Step 3: Proceed with the enrollment process.
 Step 4: Enter your billing details and continue to course fee payment.
 Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
 Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
 Step 7: Once you complete the course, take the online examination.
 Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
 Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
 Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
 Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
 Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
 Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
 Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
 Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
 Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Module 1: Introduction to HR Analytics and Workforce Planning: Overview of HR analytics and its significance, Difference between reporting, analytics, and predictive modeling, Evolution of workforce planning in HRM, Importance of data-driven decision-making in HR, Role of HR analytics in strategic HRM, Key terminology and concepts in HR analytics.
Module 2: HR Data Collection and Management: Types and sources of HR data (internal and external), Data quality, integrity, and governance in HR, Tools for HR data collection and storage, Employee database management systems (HRIS), Ethics and privacy in handling employee data, Integration of data across HR functions.
Module 3: Analytical Tools and Techniques in HR: Descriptive, diagnostic, predictive, and prescriptive analytics, Statistical techniques used in HR analytics, Using Excel and basic statistical software for HR data, Introduction to HR dashboards and visualization tools, Key metrics: turnover, absenteeism, cost per hire, etc., Correlation, regression, and trend analysis in workforce planning.
Module 4: Strategic Workforce Planning Frameworks: Steps in workforce planning process, Forecasting demand and supply of talent, Identifying critical roles and skill gaps, Scenario planning and workforce modeling, Succession planning and talent pipeline analysis, Aligning workforce plans with business strategy.
Module 5: Applications of HR Analytics Across HR Functions: Talent acquisition analytics (sourcing effectiveness, time-to-hire), Employee engagement and retention analytics, Learning and development analytics (ROI, skills gap), Performance management and productivity analysis, Compensation and benefits benchmarking, Diversity, equity, and inclusion metrics.
Module 6: Implementing and Sustaining HR Analytics: Developing an HR analytics roadmap and strategy, Building internal capability and analytics culture in HR, Communicating insights to stakeholders using storytelling, Overcoming challenges in adoption of HR analytics, Role of HRBP and leadership in analytics transformation, Measuring ROI and impact of HR analytics initiatives.
