Healthcare Data Analyst
Profile Code: AL-TEL-04
- ₹8 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Healthcare Data Analytics | Data Management & Quality Control | Patient & Service Utilization Analysis | SQL & Database Management | Dashboarding & Data Visualization | Statistical Analysis & Reporting | Excel, Python & Business Intelligence Tools | Problem Solving & Data-Driven Decision Making
Overview Video
About This Course
A Healthcare Data Analyst focuses on analyzing healthcare-related data to improve patient outcomes, operational efficiency, and service quality. This course equips learners with the skills to work with clinical and operational datasets, track KPIs such as patient volumes, treatment outcomes, and service utilization, and generate actionable insights. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for data analysis and reporting. The program emphasizes data cleaning, analysis, and interpretation in healthcare contexts, along with data-driven decision-making. Learners will understand how to identify trends, support healthcare operations, and improve care delivery through analytics. By the end of the course, they are prepared for roles in healthcare analytics, with career progression into clinical analytics, hospital operations, and healthcare data leadership positions.
Course Content
4 modules · 12 weeks · 2hrs/daySQL Course
The SQL course Basic to Advance provides learners with a strong foundation in managing and analyzing healthcare data stored in relational databases. Participants learn SQL syntax, database concepts, SELECT statements, filtering, sorting, joins, aggregate functions, grouping, subqueries, views, and basic data manipulation techniques. Through hands-on exercises and healthcare datasets, learners develop the skills required to retrieve, organize, and analyze patient, operational, and clinical data efficiently, supporting informed decision-making and healthcare reporting.
Microsoft Excel Course
The Microsoft Excel course Basic to Advance equips learners with advanced spreadsheet and analytical skills for healthcare data management. Participants explore advanced formulas, PivotTables, PivotCharts, Power Query, lookup functions, data validation, conditional formatting, dashboards, What-If Analysis, data modeling, and reporting automation. Through practical healthcare scenarios and real-world datasets, the course prepares learners to analyze healthcare performance, monitor operational metrics, and create professional reports that support clinical and administrative decision-making.
Business Intelligence (BI) Course
The Business Intelligence (BI) course Basic to Advance focuses on transforming healthcare data into interactive dashboards and actionable insights. Learners master data modeling, dashboard creation, KPI monitoring, healthcare performance analytics, trend analysis, forecasting, visualization techniques, report automation, and data storytelling. Through project-based learning and real-world healthcare use cases, the course enables participants to develop business intelligence solutions that improve operational efficiency, patient outcomes, and strategic planning.
CRM Systems Course
The CRM Systems course Basic to Advance provides comprehensive training in managing patient relationships, healthcare services, and operational workflows using Customer Relationship Management (CRM) platforms. Participants learn patient record management, communication tracking, workflow automation, appointment management, case management, reporting, data integration, analytics, security, and compliance best practices. Through hands-on business scenarios, the course develops the skills required to optimize patient engagement, improve service delivery, and support data-driven healthcare management.
Key Responsibilities
- Analyze healthcare and customer data generated through digital health and telemedicine platforms
- Monitor data quality, trends, and performance metrics to support healthcare service delivery
- Develop dashboards and reports for healthcare operations and business stakeholders
- Identify patterns in patient engagement and service utilization to improve digital health offerings
- Collaborate with healthcare, technology, and business teams to generate data-driven insights and support strategic decisions.
Growth Path
Tools Used
Perfect For
Healthcare and Life Sciences Graduates | Engineering and IT Professionals | Telecom & Digital Health Professionals | Data Analytics Enthusiasts | Business Intelligence Aspirants | Individuals Interested in HealthTech and Digital Healthcare Analytics
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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