Health Care Analytics Course
Our Health Care Analytics Course is designed to help you analyze medical and clinical data to improve patient care, hospital operations, and healthcare outcomes. You’ll learn essential concepts such as patient data analysis, medical record management, healthcare KPIs, predictive analytics, and treatment outcome evaluation. The course covers practical tools including Excel, SQL, Power BI/Tableau, and Python for healthcare datasets. Through real-world case studies and hands-on projects, you’ll gain the skills to identify trends, optimize resources, reduce risks, and support data-driven decision-making across hospitals, clinics, insurance, and public health organizations.
Health Care Analytics Certification Training Course
Our Health Care Analytics Course is designed to help learners understand how to analyze medical, clinical, operational, and patient-care data using modern analytical tools. This course covers Excel, SQL, Python (optional), Power BI/Tableau, healthcare KPIs, clinical data analysis, hospital operations analytics, and predictive modeling for healthcare decision-making. Whether you are a student, healthcare professional, data analyst, medical administrator, or someone entering the health sciences field, this course provides practical, real-world experience with healthcare datasets, case studies, and tools used in hospitals, diagnostics centers, public health organizations, and medical research institutions.
- Introduction to Healthcare Analytics & Healthcare Systems
- Types of healthcare data: EMR, EHR, claims, diagnostics & operational data
- Excel for healthcare analytics
- SQL for managing medical databases
- Healthcare KPIs: LOS, mortality rate, readmission rate, ALOS, OR utilization
- Data cleaning & preprocessing for healthcare datasets
Healthcare analytics plays a vital role in improving patient outcomes, optimizing hospital operations, forecasting health trends, and supporting evidence-based medical decision-making. This course trains you in using data to analyze patient records, treatment outcomes, hospital efficiency, insurance claims, medical billing, public health data, and predictive models for disease patterns. You will learn to work with structured and unstructured health data while understanding regulatory guidelines like HIPAA compliance, data privacy, and ethical handling of patient data. Real-world scenarios include hospital resource optimization, patient readmission prediction, clinical KPI dashboards, medical cost analysis, and outbreak trend visualization Enroll now and build industry-ready healthcare analytics skills to work with hospitals, insurance companies, health tech startups, and medical research organizations!
What will I learn?
- Ability to analyze patient, hospital, and healthcare operational data
- Skills in Excel, SQL & BI tools for healthcare decision-making
- Understanding of healthcare KPIs, performance analysis & reporting
- Expertise in clinical dashboards & hospital management analytics
- Knowledge of predictive analytics for medical decision support
Requirements
- Basic understanding of healthcare or biology (helpful but not required)
- Laptop/PC with Excel and BI tools
- No programming experience required (Python optional)
- Interest in healthcare systems, analytics or medical data
Start Your Enrollment
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Why Choose Us ?
Our Health Care Analytics Course is designed to equip students and professionals with practical skills to analyze healthcare data, improve patient care, optimize hospital operations, and make data-driven decisions in the medical industry. At TCIIT, we focus on hands-on learning with real healthcare datasets, dashboards, and reporting projects. You will learn Excel, SQL, Python, Power BI, predictive analytics, patient data analysis, and healthcare reporting through live projects and industry case studies. Our expert trainers guide you step-by-step, enabling you to monitor KPIs, track trends, and provide actionable insights to support hospitals, clinics, and healthcare organizations. Choose us for practical training, industry-oriented projects, expert mentorship, and job-ready skills for roles like Health Data Analyst, Clinical Analyst, BI Specialist, and Healthcare Operations Analyst.
Diverse Career Opportunities in Healthcare Analytics: Exploring Data-Driven Roles in India’s Fast-Growing HealthTech Sector
In India, expertise in Healthcare Analytics opens doors to high-impact career opportunities across hospitals, pharmaceutical companies, diagnostics, insurance providers, research organizations, HealthTech startups, and global consulting firms. Leading organizations like Apollo Hospitals, Fortis, Max Healthcare, Pfizer, Novartis, Deloitte, Accenture, and IBM hire Healthcare Analytics professionals to improve patient care, optimize operations, and support data-driven medical decision-making. Healthcare Data Analysts are highly valued for their ability to analyze clinical and operational healthcare data, evaluate treatment effectiveness, detect patterns in patient records, build predictive models, and support public health initiatives. Their work contributes to improving patient outcomes, reducing costs, enhancing hospital efficiency, and advancing medical research. Salary packages vary based on domain knowledge and technical expertise. In India, the average annual salary for a Healthcare Analytics professional ranges from 650,000 to 1,100,000 INR, while in the USA it is approximately $95,000 per year, reflecting strong global demand and excellent earning potential in the rapidly expanding healthcare analytics field.
Get Healthcare Analytics Certification
Three easy steps will unlock your Healthcare Analytics Certification
- Complete the online/offline Healthcare Analytics Course along with all required assignments.
- Successfully complete multiple industry-based healthcare analytics projects, including patient data analysis, hospital operations analytics, and predictive modeling.
- Pass the Healthcare Analytics Certification Exam to earn your verified, industry-recognized certificate.
The certificate for this Healthcare Analytics course will be provided through our learning management system (LMS). You can download it anytime and add the certificate link to your CV, resume, or LinkedIn profile to showcase your healthcare data analysis, clinical insights, and patient outcome optimization skills.
