Healthcare Data Analytics Training
Healthcare Data Analytics Training helps Data Analysts and Reporting Officers build practical health and health systems capability through role-relevant activities, instructor-led 5 days delivery, and a clear certificate pathway.
Training provider: EduCore Global Skills
Category: Health and Health Systems
Duration: 5 Days
Delivery: Instructor-led classroom, Live online, In-house corporate training
Certificate: Certificate of Completion
Course fees: KES 80,000 / USD 850
Course Overview
Healthcare Data Analytics Training is an instructor-led professional training course offered by EduCore Global Skills for individuals, teams, and organizations seeking practical capability in Health and Health Systems.
EduCore Global Skills offers Healthcare Data Analytics Training as Health and Health Systems training for Data Analysts, Reporting Officers, M&E Officers, Finance Analysts and related professionals. Delivery supports classroom, live online, and corporate cohorts in Nairobi, Kenya or by arrangement.
Who Should Attend
- Data Analysts
- Reporting Officers
- M&E Officers
- Finance Analysts
- Operations Managers
- Professionals
- Managers
- Technical staff
Prerequisites
No mandatory prerequisite is required unless stated in the course outline. Participants should bring relevant workplace examples where possible.
Course Modules
Healthcare System Fundamentals
Core competencies for Healthcare System Fundamentals.
- How care is delivered: primary, secondary, and tertiary levels
- Healthcare stakeholders: providers, payers, patients, regulators
- Payment models: fee-for-service, capitation, value-based care
- Clinical workflows and the patient journey
- Core terminology: encounters, admissions, claims, diagnoses, procedures
Healthcare Data Sources and Standards
Core competencies for Healthcare Data Sources and Standards.
- EHR/EMR, claims, registry, lab, and imaging data
- Coding systems: ICD-10, CPT, SNOMED CT, LOINC, RxNorm
- Interoperability standards: HL7 and FHIR
- Health information systems such as DHIS2 for public health
- Data dictionaries and metadata
Privacy, Ethics, and Compliance
Core competencies for Privacy, Ethics, and Compliance.
- HIPAA, GDPR, and Data Protection
- De-identification and anonymization techniques
- Access controls, audit trails, and data security
- Ethical use of patient data and informed consent
- Bias, equity, and fairness in health data
SQL for Healthcare Data
Core competencies for SQL for Healthcare Data.
- Selection of expert methods, diagnostic instruments, analytical models, and field-tested tools
- Methodological trade-offs involving validity, reliability, feasibility, cost, and stakeholder trust
- Data collection, triangulation, scenario testing, sensitivity review, and professional interpretation
- Handling ambiguity, incomplete information, conflicting evidence, and judgement under uncertainty
- Exercise: apply an advanced analytical protocol to a complex Python for Data Analytics case
Data Cleaning and Quality
Core competencies for Data Cleaning and Quality.
- Information architecture, source records, metadata, data lineage, and knowledge assets supporting Python for Data Analytics
- Evidence governance for completeness, comparability, confidentiality, provenance, and defensibility
- Analytical registers, decision logs, working papers, version discipline, and institutional memory
- Using dashboards, repositories, matrices, and review packs to support expert interpretation
- Exercise: design an evidence architecture and knowledge-asset register
Statistics for Health Analytics
Core competencies for Statistics for Health Analytics.
- Operational, financial, technical, legal, reputational, and stakeholder risk scenarios in Python for Data Analytics
- Ethical dilemmas, bias risks, safeguarding duties, confidentiality constraints, and responsible use principles
- Preventive, detective, corrective, and compensating controls suited to the subject matter
- Assurance evidence expected by executives, boards, auditors, regulators, donors, or accreditation reviewers
- Exercise: prepare a risk, ethics, and assurance architecture for executive scrutiny
Python or R for Healthcare Analysis
Core competencies for Python or R for Healthcare Analysis.
- Data wrangling with pandas or tidyverse
- Exploratory data analysis of clinical datasets
- Working with time series and longitudinal patient data
- Statistical modeling libraries
- Reproducible analysis with notebooks and version control
Healthcare Metrics and Quality Measurement
Core competencies for Healthcare Metrics and Quality Measurement.
- Technology ecosystem, platform choices, system interfaces, automation opportunities, and data handoffs
- Interoperability, cybersecurity, access governance, vendor dependency, and lifecycle sustainability
- Human-system interaction, adoption barriers, operating routines, and support structures
- Change-control evidence, configuration discipline, integration testing, and service continuity requirements
- Exercise: evaluate a digital enablement scenario and recommend a sustainable architecture
Data Visualization and Dashboards
Core competencies for Data Visualization and Dashboards.
- Complex case analysis using incomplete evidence, competing priorities, and institutional constraints
- Root-cause investigation, alternative hypothesis testing, scenario comparison, and decision justification
- Peer critique, challenge panels, facilitator review, and evidence-based revision of recommendations
- Translating case findings into defensible actions, governance updates, and implementation safeguards
- Exercise: defend a case resolution before a technical and executive review panel
Predictive Analytics and Capstone Project
Core competencies for Predictive Analytics and Capstone Project.
- Machine learning basics: classification and risk prediction
- Model evaluation: AUC, calibration, and validation
- Explainability and clinical trust in models
- Deploying analytics into clinical or operational workflows
- Capstone: end-to-end project using MIMIC-IV, Synthea, or DHIS2 data
Training Focus
Healthcare Data Analytics Training helps Data Analysts and Reporting Officers build practical health and health systems capability through role-relevant activities, instructor-led 5 days delivery, and a clear certificate pathway.
Related Course Discovery Links
Frequently Asked Questions
How is Healthcare Data Analytics Training delivered?
Healthcare Data Analytics Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.
What are the fees for Healthcare Data Analytics Training?
The published course investment is KES 80,000 and USD 850. Location-specific fees are shown where configured.
How long is Healthcare Data Analytics Training?
Healthcare Data Analytics Training runs for 5 Days unless a customized corporate schedule is agreed.
Do participants receive a certificate for Healthcare Data Analytics Training?
Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.
Register for Healthcare Data Analytics Training or contact EduCore Global Skills.