Description
Course Name: Diploma in Health Data Analytics
Course Id: DHDA/Q1001
Eligibility: 10+2(higher Secondary) or equivalent.
Objective: The Diploma in Health Data Analytics aims to prepare learners to work with healthcare data systems and transform raw medical information into meaningful insights for improved healthcare delivery.The course provides a strong foundation in data collection methods, biostatistics, data visualization, and healthcare databases. Students are trained to analyze patient records, hospital performance data, disease trends, and public health indicators using modern analytical tools and software.
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, Types of Healthcare Data, Health Information Management, Medical Terminology for Data Professionals, Healthcare Statistics Fundamentals, Ethics and Patient Confidentiality, Data Privacy and Healthcare Regulations, Emerging Trends in Health Analytics
Module 2: Health Data Collection and Management: Electronic Health Records (EHR) Fundamentals, Health Information Systems (HIS), Data Collection Methods, Data Cleaning and Validation, Healthcare Database Management, Data Coding and Classification Basics, Clinical Documentation Standards, Data Quality Management, Healthcare Data Governance, Health Data Integration Techniques
Module 3: Data Analysis and Visualization in Healthcare: Healthcare Data Analysis Techniques, Descriptive and Diagnostic Analytics, Spreadsheet-Based Health Analytics, SQL Fundamentals for Healthcare Data, Business Intelligence in Healthcare, Data Visualization Principles, Healthcare Dashboards, Clinical Performance Reporting, Public Health Data Analysis, Healthcare KPI Development
Module 4: Advanced Healthcare Analytics: Predictive Analytics in Healthcare, Artificial Intelligence in Healthcare, Machine Learning Applications in Health Data, Population Health Analytics, Disease Surveillance and Monitoring, Healthcare Resource Utilization Analysis, Patient Outcome Analysis, Hospital Performance Measurement, Clinical Decision Support Systems, Healthcare Forecasting Techniques
Module 5: Digital Health Technologies and Quality Improvement: Telemedicine Data Analytics, Wearable Health Device Data, Internet of Medical Things (IoMT) Basics, Health Data Security and Cybersecurity, Interoperability Standards, Digital Health Transformation, Quality Improvement Analytics, Risk Management in Healthcare Data, Regulatory Compliance and Auditing, Continuous Performance Improvement
Module 6: Strategic Health Analytics and Professional Practice: Healthcare Project Management, Strategic Healthcare Decision-Making, Health Policy Analytics, Healthcare Operations Analytics, Research Methods in Health Analytics, Leadership and Communication Skills, Emerging Technologies in Digital Health, Future Trends in Health Data Analytics, Capstone Project in Health Data Analytics, Career Development and Professional Practice
Job Opportunities after Diploma in Health Data Analytics
Graduates of this program gain expertise in healthcare data management, medical data analysis, hospital reporting systems, health informatics, patient data interpretation, and digital health technologies, preparing them for roles in hospitals, healthcare IT companies, insurance firms, and public health organizations.
Key Career Options: Health Data Analyst, Healthcare Data Assistant, Medical Data Entry Analyst, Hospital MIS Executive, Clinical Data Coordinator, Health Informatics Assistant, Healthcare Reporting Executive, Medical Coding Assistant, Healthcare Business Analyst (entry-level), Insurance Data Analyst, Public Health Data Assistant, Clinical Research Data Associate, EHR/EMR Data Specialist, Healthcare Dashboard Executive.
Salary Range (India):
Entry-level: ₹2–4 LPA
Mid-level: ₹4–8 LPA
Senior-level: ₹8–15+ LPA
Industries Hiring Graduates: Hospitals, Healthcare IT Companies, Insurance Companies, Pharmaceutical Research Organizations, Public Health Departments, Diagnostic Labs, Medical Software Companies, Clinical Research Organizations (CROs), Telemedicine Platforms, Government Health Programs.
Skills Developed: Healthcare data analysis, medical reporting, Excel and SQL basics, hospital information systems (HIS), electronic health records (EHR/EMR), data visualization, healthcare statistics, patient data management, clinical documentation understanding, and health informatics tools.
Graduates can progress to senior healthcare data analyst roles, health informatics specialists, or healthcare business analysts, and can also build careers in global health analytics companies or public health research organizations with advanced skills and experience.
