Basic computer knowledge
Basic computer knowledge is recommended to help you participate in practical learning.
Upcoming Healthcare Analytics batches
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Learn. Practise. Apply.Healthcare Analytics
Healthcare Analytics
Course at LearnAI
Explore healthcare analytics through a 14-module curriculum and 5 project topics. Explore patient, clinical, hospital operations and healthcare financial data. Build analytics foundations with Power BI, SQL, Python, statistics and ETL, then study quality indicators, population health, prediction and healthcare dashboards.
Online India & worldwideClassroom Learn at a branchHybrid Online + classroom
Branches: Hyderabad · Guntur · Kurnool
Online: USA, Canada, UK, Australia, New Zealand and Germany
Ask about your preferred mode, branch and upcoming batch.
14 modulesFoundations to applied learning
5 project topicsDomain practice and a capstone
3 training modesOnline · Classroom · Hybrid
Talk to LearnAIFees, duration and batch details
Understand the programme
Learn Healthcare Analytics through practical study.
Explore patient, clinical, hospital operations and healthcare financial data. Build analytics foundations with Power BI, SQL, Python, statistics and ETL, then study quality indicators, population health, prediction and healthcare dashboards.
Your willingness to learn comes first
Who can join?
Build new skills or upgrade your technology knowledge. LearnAI welcomes students pursuing a degree, graduates, working professionals and learners from relevant domains.
Students and professionals
Join while pursuing a degree, after graduation, or to develop skills for your relevant domain.
No prior technology knowledge required
You can begin without previous knowledge of the course technology. Bring your interest and willingness to learn.
No age limit
Learners of all ages are welcome. Learners under 18 should enrol with a parent or guardian’s consent.
What the curriculum develops
Skills you will practise.
Build healthcare dashboards
Report clinical and hospital KPIs with Power BI.
Query healthcare datasets
Use SQL to connect patient, operations and financial datasets.
Prepare and validate data
Practise Python, ETL and healthcare data quality.
Explore hospital operations
Study occupancy, utilization, length of stay and revenue.
Study predictive analytics
Explore readmission, demand and model evaluation topics.
Present healthcare insights
Connect population health, privacy and data storytelling.
The complete learning path
Healthcare Analytics course curriculum.
Explore all 14 modules. Open a module to view its topics, and discuss the delivery plan for your batch.
01 / Analytics tools and foundations
MODULE 01Power BI & Data Visualization
- Business Intelligence Fundamentals
- Power BI Desktop
- Data Connections
- Power Query
- Data Transformation
- Data Modeling
- Table Relationships
- DAX Fundamentals
- Calculated Columns & Measures
- Interactive Dashboards
- Drill-Through Reports
- Publishing & Sharing
MODULE 02SQL for Data Analytics
- Database Fundamentals
- Relational Databases
- SQL Queries
- Filtering & Sorting
- Aggregate Functions
- Group By & Having
- Joins
- Subqueries
- Common Table Expressions
- Window Functions
- Views
- Data Extraction
- SQL Reporting
MODULE 03Python for Data Analytics
- Python Fundamentals
- Variables & Data Types
- Conditions & Loops
- Functions
- Data Structures
- File Handling
- NumPy
- Pandas
- Matplotlib
- Seaborn
- DataFrames
- Data Manipulation
- Data Visualization
MODULE 04Statistics for Data Analytics
- Descriptive Statistics
- Mean, Median & Mode
- Variance & Standard Deviation
- Probability Fundamentals
- Probability Distributions
- Sampling Techniques
- Correlation Analysis
- Hypothesis Testing
- Confidence Intervals
- Regression Fundamentals
- Statistical Interpretation
MODULE 05Data Processing & ETL
- Data Collection
- Data Investigation
- Data Profiling
- Data Quality Assessment
- Missing Value Treatment
- Duplicate Handling
- Outlier Detection
- Data Cleaning
- Data Wrangling
- Data Transformation
- Data Integration
- Feature Engineering
- ETL Pipelines
- Data Validation
02 / Domain foundations
MODULE 06Healthcare Analytics Fundamentals
- Healthcare Industry Overview
- Healthcare Ecosystem
- Types of Healthcare Analytics
- Healthcare Data Sources
- Electronic Health Records (EHR)
- Electronic Medical Records (EMR)
- Patient Demographics
- Clinical & Administrative Data
- Healthcare Data Standards
- Healthcare Analytics Lifecycle
- Healthcare KPIs
MODULE 07Healthcare Data Management
- Healthcare Data Structure
- Patient Data
- Hospital Data
- Clinical Data
- Laboratory Data
- Diagnosis Data
- Treatment Data
- Billing Data
- Insurance Claims Data
- Healthcare Data Integration
- Patient Data Privacy
- Healthcare Data Quality
MODULE 08Patient & Clinical Analytics
- Patient Demographic Analysis
- Patient Journey Analysis
- Disease Distribution
- Diagnosis Analysis
- Treatment Analysis
- Laboratory Data Analysis
- Medication Data Analysis
- Patient Risk Factors
- Patient Segmentation
- Clinical Outcomes
- Readmission Analysis
- Clinical KPI Dashboards
03 / Advanced analytics
MODULE 09Hospital Operations Analytics
- Hospital Performance Analysis
- Patient Admission Trends
- Patient Discharge Analysis
- Bed Occupancy Rate
- Average Length of Stay
- Patient Waiting Time
- Emergency Department Analytics
- Department Performance
- Doctor & Staff Utilization
- Resource Allocation
- Hospital Efficiency KPIs
- Hospital Operations Dashboard
MODULE 10Healthcare Financial Analytics
- Healthcare Revenue Analysis
- Hospital Billing Analytics
- Treatment Cost Analysis
- Revenue Cycle Management
- Insurance Claims Analytics
- Claim Approval & Rejection
- Patient Payment Analysis
- Outstanding Payments
- Department-Wise Revenue
- Healthcare Cost Analysis
- Financial Performance KPIs
- Healthcare Revenue Dashboard
MODULE 11Quality & Patient Safety
- Healthcare Quality Indicators
- Patient Safety Metrics
- Hospital Readmission Rate
- Mortality Rate Analysis
- Hospital-Acquired Infection Metrics
- Treatment Outcome Measurement
- Patient Satisfaction Analysis
- Quality Performance Monitoring
- Healthcare Benchmarking
- Quality Improvement Analytics
MODULE 12Population Health Analytics
- Population Health Fundamentals
- Disease Prevalence
- Disease Incidence
- Demographic Risk Analysis
- Chronic Disease Analytics
- Epidemiological Trends
- Preventive Healthcare Analytics
- Healthcare Accessibility
- Healthcare Disparities
- Population Health Dashboards
MODULE 13Predictive Healthcare Analytics
- Predictive Analytics Introduction
- Machine Learning Fundamentals
- Healthcare Feature Engineering
- Regression & Classification
- Patient Readmission Prediction
- Hospital Demand Forecasting
- Length of Stay Prediction
- Patient Risk Stratification
- Predictive Model Evaluation
- Healthcare Prediction Dashboards
04 / Project work
MODULE 14Real-World Healthcare Analytics Projects
- Patient Analytics
- Hospital Operations
- Healthcare Revenue
- Clinical Analytics
- Healthcare Capstone
Your technical toolkit
Tools and technologies in the curriculum.
Apply the learning
5 Healthcare Analytics project topics.
Ask about the learning datasets, project selection, guidance and delivery for your batch.
Patient Analytics
Explore demographics, disease and treatment patterns in learning datasets.
Hospital Operations
Analyse admissions, occupancy and length of stay.
Healthcare Revenue
Explore billing, claims, costs and payment reporting.
Clinical Analytics
Study diagnoses, readmissions and outcome metrics.
Healthcare Capstone
Combine SQL, Python, ETL and Power BI in a healthcare analytics project.
Choose how you learn
Healthcare Analytics training near you and online.
Online training
Join from India, the USA, Canada, UK, Australia, New Zealand and Germany. Confirm your batch and time-zone schedule.
Classroom training
LearnAI branches: Dilsukhnagar, Hyderabad; Gardens, Guntur; Main Road, Kurnool. Confirm this course, batch and exact address before visiting.
Hybrid training
Discuss combined online and classroom participation at your preferred branch. Confirm the delivery arrangements for your batch.
Fees, duration, prerequisites and upcoming batches are available on enquiry.
Learn with professional guidanceWorking professionalsIndustry knowledge connected to practical learning Relevant expertiseSubject knowledge and practical experience Experienced trainersGuidance for concepts, tasks and project work
Experienced trainers. Practical knowledge.
LearnAI’s core trainer team is supported by additional and part-time trainers. Trainer assignments and relevant experience vary by course, branch, training mode and batch availability. Experience figures refer to professional experience, not years of teaching.
Plan your next step
Career directions and learning support.
Roles to explore
Career directions listed in the brochure. Entry requirements depend on the role, employer and your background.
Discuss career assistance
Ask about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm current availability and what is included with your enrolment.
Enrolled students receive access details for their applicable LearnAI learning and career assistance applications.
Ask About Career Assistance ↗Before you enrol
Healthcare Analytics course questions.
Review the curriculum and ask for current delivery and enrolment details.
What does the LearnAI Healthcare Analytics Course cover?
The curriculum has 14 modules. Explore patient, clinical, hospital operations and healthcare financial data. Build analytics foundations with Power BI, SQL, Python, statistics and ETL, then study quality indicators, population health, prediction and healthcare dashboards.
Which tools and technologies are included?
The curriculum lists Power BI, SQL, Python, Pandas, NumPy, DAX, Power Query, Scikit-learn, Matplotlib, Seaborn. Ask LearnAI about software setup and any tool accounts required for your batch.
Which projects are listed?
Project topics include Patient Analytics, Hospital Operations, Healthcare Revenue, Clinical Analytics, Healthcare Capstone. Confirm datasets, guidance and project selection with LearnAI.
Are Power BI, SQL and Python included?
Yes. The first five modules cover Power BI, SQL, Python, statistics and data processing with ETL. These foundations are followed by healthcare analytics specialization topics.
Can I join online from outside India?
Yes. LearnAI offers online classes for learners in India and abroad, including the USA, Canada, UK, Australia, New Zealand and Germany. Ask about Healthcare Analytics batch availability and your time-zone schedule.
Where can I attend classroom or hybrid training?
LearnAI branches are in Dilsukhnagar, Hyderabad; Gardens, Guntur; and Main Road, Kurnool. Confirm Healthcare Analytics availability, delivery mode and the exact address before visiting.
What are the fees, duration and prerequisites?
Contact LearnAI on WhatsApp at +91 93900 23585 for current fees, duration, prerequisites and batch details. Share your background and preferred training mode.
What career assistance can I ask about?
Discuss resume support, job-description matching, interview practice, job discovery and application assistance. Confirm current availability and enrolment terms with LearnAI.
Discuss your learning goals
Chat with LearnAI ↗Ready to explore Healthcare Analytics?
Share your background, preferred training mode, branch or country, and time zone.
Mon–Fri · 9 AM–7 PM IST · +91 93900 23585 · info@learnai.co.in
What your course includes
Course charges cover
- Live classes with a trainer
- Doubt sessions
- Assignments
- Exams
- Recordings
- Portal access
- Project assignment
- Project explanation
Complimentary services
- Resume writing
- Mock interviews
- Interview preparation
- 100% job assistance
Job assistance does not guarantee a job offer.