Description
Course Name: Professional Diploma in Health Data Analytics
Course Id: PDHDA/Q1001
Eligibility: 10+2(higher Secondary) or equivalent.
Objective: The Professional Diploma in Health Data Analytics aims to equip learners with the analytical, statistical, and technological skills required to manage and interpret healthcare data effectively. The program focuses on transforming clinical, operational, and public health data into actionable insights that support evidence-based decision-making, improved patient care, and efficient healthcare system management.
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 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- 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 Health Data Analytics: Introduction to Health Data Analytics, Healthcare Systems and Services, Healthcare Data Sources, Medical Terminology, Health Information Management, Healthcare Statistics Fundamentals, Data-Driven Decision Making in Healthcare, Healthcare Ethics and Patient Confidentiality, Data Privacy and Regulatory Compliance, Emerging Trends in Health Analytics
Module 2: Healthcare Data Collection and Management: Electronic Health Records (EHR), Electronic Medical Records (EMR), Hospital Information Systems (HIS), Clinical Data Collection Methods, Healthcare Database Management, Data Cleaning and Validation, Clinical Documentation Standards, Medical Coding Fundamentals, Data Quality Management, Healthcare Data Governance
Module 3: Data Analytics and Business Intelligence in Healthcare: Healthcare Data Analysis Techniques, SQL for Healthcare Analytics, Spreadsheet Analytics, Business Intelligence Fundamentals, Data Visualization Principles, Healthcare Dashboards, Clinical Performance Reporting, Population Health Analytics, Predictive Analytics in Healthcare, Artificial Intelligence for Healthcare Analytics
Module 4: Clinical, Operational and Financial Analytics: Patient Outcome Analysis, Hospital Operations Analytics, Clinical Quality Measurement, Disease Surveillance and Monitoring, Healthcare Resource Utilization Analysis, Revenue Cycle Analytics, Public Health Data Analysis, Risk Stratification Techniques, Healthcare Forecasting Models, Performance Measurement and KPIs
Module 5: Digital Health Technologies and Information Security: Telemedicine Analytics, Internet of Medical Things (IoMT), Wearable Health Device Data Analysis, Healthcare Cybersecurity, Cloud Computing in Healthcare, Healthcare Data Integration, Machine Learning Applications in Healthcare, Clinical Decision Support Systems, Data Security and Backup Management, Digital Health Transformation
Module 6: Strategic Health Analytics and Professional Practice: Healthcare Project Management, Strategic Healthcare Planning, Leadership and Team Management, Healthcare Research Methods, Quality Improvement Initiatives, Regulatory Reporting and Compliance, Emerging Technologies in Health Analytics, Future Trends in Healthcare Data Science, Capstone Project in Health Data Analytics, Career Development and Industry Best Practices
