Description
Course Name: Diploma in HR Analytics
Course Id: DHRA/Q1001.
Eligibility: 10+2 (Higher Secondary) or equivalent.
Objective: The Diploma in HR Analytics provides practical knowledge of HR data collection, employee data management, workforce metrics, recruitment analytics, employee performance analysis, compensation analytics, employee engagement measurement, retention analysis, HR dashboards, reporting, and data-driven decision-making. The course develops the skills required to organize and interpret HR information, identify workforce trends, prepare meaningful reports, support strategic HR decisions, and improve organizational effectiveness through data-based insights.
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: After completing 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: Fundamentals of HR Analytics: Introduction to HR Analytics, Nature and Scope of People Analytics, Importance of Data in Human Resource Management, Types of HR Analytics, HR Analytics Process and Framework, HR Data Sources and Categories, Roles of HR Analytics Professionals, Data Quality and Accuracy, Ethics and Privacy in HR Data, Emerging Trends in HR Analytics.
Module 2: HR Data Management and Reporting: Employee Data Collection Methods, HR Database Management, Workforce Data Organization, HR Information Systems, Data Cleaning and Validation, Employee Records and Data Classification, HR Metrics and Key Performance Indicators, HR Dashboard Fundamentals, HR Reporting and Data Presentation, Data Governance and Confidentiality.
Module 3: Recruitment and Talent Analytics: Recruitment Data and Hiring Metrics, Candidate Source Analysis, Recruitment Funnel Analysis, Time-to-Hire Assessment, Cost-per-Hire Analysis, Quality of Hire Evaluation, Candidate Experience Analytics, Talent Acquisition Performance Analysis, Workforce Demand and Talent Supply Analysis, Recruitment Analytics Reporting.
Module 4: Performance Learning and Productivity Analytics: Employee Performance Data Analysis, Performance Management Metrics, Workforce Productivity Analysis, Goal Achievement Assessment, Employee Competency Analysis, Training Needs Analytics, Learning and Development Metrics, Training Effectiveness Evaluation, Career Development and Talent Analytics, Performance Analytics Reporting.
Module 5: Employee Engagement Retention and Compensation Analytics: Employee Engagement Measurement, Employee Satisfaction Analytics, Absenteeism and Attendance Analysis, Employee Turnover Analysis, Retention and Attrition Analytics, Employee Experience Analysis, Compensation and Salary Analytics, Benefits Utilization Analysis, Pay Equity Assessment, Workforce Cost Analysis.
Module 6: Strategic Workforce Analytics and Decision-Making: Strategic Workforce Planning Analytics, Workforce Trends and Pattern Identification, Predictive HR Analytics Fundamentals, Workforce Risk Analysis, Succession and Leadership Analytics, Diversity and Inclusion Analytics, HR Benchmarking and Comparative Analysis, Data-Driven HR Decision-Making, Communicating HR Analytics Insights, Future Developments in People Analytics.
Job Opportunities after Diploma in HR Analytics
A Diploma in HR Analytics prepares learners for HR data analysis, workforce reporting, people analytics, HR operations, recruitment analytics, and employee data management roles.
Top Roles: HR Analytics Executive, HR Analyst, People Analytics Executive, Workforce Analyst, HR Data Analyst, HR Reporting Executive, HR Operations Analyst, Recruitment Analytics Executive, Compensation Analytics Assistant, HR MIS Executive, People Operations Executive and HR Analytics Coordinator.
Key Skills: HR data analysis, workforce metrics, recruitment analytics, employee retention analysis, performance analytics, compensation analytics, HR reporting, dashboard preparation, data visualization, spreadsheet analysis and data-driven HR decision-making.
Salary Range (India):
- Entry-level: ₹2.5–6 LPA
- Mid-level: ₹6–12 LPA
- Senior-level: ₹12–25+ LPA
- HR Analytics Consultancy: Income varies according to experience, specialization, clients, location and professional services.
Scope: Opportunities are available in corporate organizations, HR consultancies, IT companies, recruitment firms, financial institutions, manufacturing organizations, healthcare companies, retail businesses, educational institutions, logistics companies, startups and other organizations using data-driven HR practices. Career advancement depends on analytical ability, HR knowledge, data interpretation skills, spreadsheet and HR technology proficiency, communication skills, professional performance, further education and specialization.
