Description
Course Name: Advanced Diploma in HR Analytics
Course Id: ADHRA/Q1001.
Eligibility: 10+2 (Higher Secondary) or equivalent.
Objective: The Advanced Diploma in HR Analytics develops advanced professional skills required to collect, organize, analyze and interpret human-resource data for informed workforce decisions. The course covers HR data management, workforce metrics, recruitment analytics, employee performance analysis, engagement and retention analytics, compensation analysis, HR dashboards and data-driven reporting. It prepares learners to transform HR data into meaningful insights, identify workforce trends and support strategic people-management decisions.
Duration: Six Months.
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 examination 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 the examination.
- A hard copy (original with official seal and signature) sent to your address within 45 days of the declaration of the result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 120 minutes.
No. of Questions- 60. (Multiple Choice Questions).
10 Questions from each module, each carry 10 marks.
Maximum Marks- 600, Passing Marks- 40%.
There is no negative marking in this module.
| 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 | 41-50 | 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.
Syllabus
Module 1: Foundations of HR Analytics: Meaning and Scope of HR Analytics, Evolution of People Analytics, Role of Analytics in Human Resource Management, Types of HR Analytics, HR Analytics Framework and Process, Identifying HR Business Problems, HR Metrics and Key Performance Indicators, Sources of Workforce Data, Data Quality and Data Management, Ethical Principles in HR Analytics.
Module 2: Workforce and Recruitment Analytics: Workforce Planning Analytics, Workforce Demographics Analysis, Headcount and Staffing Analysis, Workforce Demand and Supply Assessment, Recruitment Funnel Analytics, Candidate Source Effectiveness, Time-to-Hire Analysis, Cost-of-Hiring Analysis, Selection and Assessment Analytics, Recruitment Quality and Hiring Effectiveness.
Module 3: Performance and Productivity Analytics: Employee Performance Data Analysis, Performance Metrics and Indicators, Goal Achievement Analysis, Individual and Team Productivity Analysis, Performance Distribution Analysis, Competency and Skill Gap Analysis, Performance Trend Identification, Employee Potential Assessment, Performance Improvement Analytics, Data-Based Performance Management Decisions.
Module 4: Employee Engagement and Retention Analytics: Employee Engagement Measurement, Employee Satisfaction Analysis, Employee Survey Analytics, Attendance and Absenteeism Analysis, Employee Turnover Analysis, Retention and Attrition Analytics, Employee Experience Measurement, Workforce Behaviour Patterns, Employee Well-Being Analytics, Retention Risk Identification and Workforce Insights.
Module 5: Compensation, Learning and Talent Analytics: Compensation and Salary Analytics, Pay Equity and Benchmarking Analysis, Benefits Utilization Analytics, Training Needs Analytics, Learning Effectiveness Measurement, Skills and Competency Analytics, Talent Management Analytics, Career Mobility Analysis, Succession Planning Analytics, Talent Development and Workforce Capability Analysis.
Module 6: HR Data Visualization and Strategic People Analytics: HR Data Reporting and Visualization, HR Dashboards and Management Reports, Data Interpretation and Insight Development, Predictive People Analytics Fundamentals, Workforce Forecasting and Scenario Analysis, HR Information Systems and Analytics Platforms, Data Privacy and Workforce Information Security, Communicating Analytical Findings to Management, Strategic Workforce Decision-Making, Emerging Trends in HR and People Analytics.
Job Opportunities after Advanced Diploma in HR Analytics
Graduates can pursue careers in HR analytics, people analytics, workforce reporting, HR operations, recruitment analytics and employee-data management.
Top Roles: HR Analyst, HR Analytics Executive, People Analytics Executive, Workforce Analyst, HR Reporting Analyst, Recruitment Analyst, HR Operations Analyst and People Data Analyst.
Key Skills: HR data management, workforce analytics, recruitment analytics, performance analysis, employee engagement analysis, retention analytics, compensation analysis, dashboard development and HR reporting.
Salary Range (India):
- Entry-level: ₹3–6 LPA
- Mid-level: ₹6–12 LPA
- Senior-level: ₹12–20+ LPA
- Top-level: ₹20–40+ LPA
Scope: HR analytics professionals can work in corporate organizations, IT companies, consulting firms, banks, financial institutions, manufacturing companies, recruitment firms, hospitals, educational institutions, retail businesses, startups and other organizations using data-driven human-resource management.
