PG Diploma in Data Science & Analytics for Healthcare Professionals
Course Outcomes:
- Build strong foundations in healthcare data science
- Learn Python, analytics, and visualization for clinical data
- Apply predictive analytics to patient outcomes and operations
- Work on end-to-end healthcare data projects
- Understand ethics, privacy, and regulatory standards
- Prepare for data-driven roles in healthcare organizations
Overview
Healthcare generates massive data, but insights only come from skilled analysis. This program empowers healthcare professionals to transform raw data into meaningful clinical, operational, and strategic insights—supporting better decision-making across the care continuum.
About the Course
The PG Diploma in Data Science & Analytics for Healthcare Professionals is a structured, 140-hour program designed to build strong analytical thinking alongside practical technical skills. Participants learn data collection, cleaning, visualization, predictive modeling, and digital health analytics through healthcare-specific scenarios.
The course combines Python-based learning, real-world healthcare case studies, DIY projects, and a capstone to ensure learners can confidently apply data science in hospitals, research, public health, and digital healthcare initiatives.
Eligibility
- Minimum qualification: Graduate degree in life sciences, medicine, pharmacy, biotechnology, nursing, allied health sciences, or computer science.
- Final-year students and working professionals from healthcare, IT, or pharma sectors can apply.
- Good understanding of English and basic digital literacy is required
Sample Certificate
Curriculum
Curriculum
- 14 Sections
- 46 Lessons
- 6 Weeks
Expand all sectionsCollapse all sections
- Module 1: Fundamentals of Data Science4
- Module 2: Core Data Science Applications in Healthcare2
- Module 3: Data Manipulation and Visualization with Python4
- Module 4: Advanced Python for Healthcare Applications4
- Module 5: Core Concepts of Data Science3
- Module 6: Predictive Analytics in Healthcare3
- Module 7: Digital Transformation in Healthcare4
- Module 8: Introduction to Healthcare Data Ethics4
- Module 9: Introduction to Data Visualization Techniques4
- Module 10: Quantum Computing in Healthcare4
- Module 11: Practical Applications of Data Science in Healthcare1
- Module 12: DIY Projects for Hands-On Learning3
- Module 13: Capstone Project3
- Module 14: Future Trends and Career Opportunities3
FAQs
Yes. The program is tailored for healthcare professionals, not pure data scientists.
Healthcare data analyst, clinical analytics roles, population health, and operations analytics.
This course is ideal for: • Healthcare professionals (doctors, nurses, health admins) • Graduates in life sciences, pharmacy, biotechnology, or public health • IT and data professionals interested in transitioning to healthcare analytics • Students aspiring for a career in digital healthcare, research, or clinical analytics
No prior programming experience is necessary. The course includes foundational training in Python and data handling, starting from basics and gradually building up to advanced analytics and model building.
You will learn how to: *Build strong foundations in healthcare data science.
*Learn Python, analytics, and visualization for clinical data.
*Apply predictive analytics to patient outcomes and operations.
*Work on end-to-end healthcare data projects.
*Understand ethics, privacy, and regulatory standards.
*Prepare for data-driven roles in healthcare organizations.
Upon successful completion of all modules, MCQ tests, projects, and the capstone dissertation, you will receive a PG Diploma in Data Science & Analytics Certificate jointly certified by NEMI Powered by Doctyn Academy.
Please visit NEMI's refund page to learn more about the Refund Policy - Refund Policy for NEMI
PG Diploma in Data Science & Analytics for Healthcare Professionals
₹180,000 *
- Application Closes On - 10th Feb 2026
- Trusted by 10,000+ Doctors • Global Accreditation • Flexible Learning
₹180,000 *
Our Testimonials
These stories showcase what truly matters: real clinical experience, meaningful mentorship, and a training environment that pushes doctors to grow.
Doctyn supports career advancement and upskilling of medical professionals by providing practical clinical exposure, and learning through innovative teaching and strong professional networking.
Dr. Smitha
The clinical training exceeded my expectations. Expert faculty and hands-on learning helped me strengthen my practical skills and confidence. A valuable step forward in my medical career.
Dr. Subhash Chandra
Courses you might be interested in
Artificial Intelligence is rapidly transforming medical imaging — from screening chest X-rays to supporting stroke triage, tumor assessment, and retinal disease detection. As AI tools increasingly enter clinical workflows, it...
-
40 Lessons
₹150,000 *
Healthcare is rapidly becoming data-driven, digital, and AI-powered. From diagnostics to population health and clinical decision support, AI is reshaping how care is delivered. This program helps healthcare professionals understand,...
-
44 Lessons
₹180,000 *