Certified Healthcare Data Analyst

6,000.00 3,000.00

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To train professionals in analyzing healthcare data to generate actionable insights that support clinical and operational decision-making in healthcare settings.

Description

Certification Name: Certified Healthcare Data Analyst

Global Occupational Skill Standard – GOSS ID: GOSS/HF/CHDA/V1

Eligibility: Graduation or Equivalent or minimum 2 years of relevant experience (experience-based learners can directly enroll and certify).

Objective: The Certified Healthcare Data Analyst course is designed to prepare professionals to collect, manage, analyze, and interpret healthcare data to support informed decision-making, improve patient outcomes, and optimize operational performance. The course covers core concepts such as healthcare databases, data warehousing, clinical and administrative data analysis, data visualization, predictive analytics, and reporting tools.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, You will be redirected to payment gateway, pay fee by any available options like Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1: Introduction to Healthcare Data Analytics: Overview of healthcare systems and data flow, Role and responsibilities of a healthcare data analyst, Types of healthcare data: clinical, operational, financial, Importance of data-driven decision-making in healthcare, Key stakeholders: providers, payers, public health bodies, Data sources: EHRs, claims, registries, surveys.

Module 2: Data Collection, Cleaning and Management: Data collection methods and tools in healthcare settings, Understanding structured vs unstructured data, Data cleaning techniques: handling duplicates, missing values, Standardization and normalization of health data, Use of Excel, SQL, and ETL tools for data handling, Creating and managing healthcare databases.

Module 3: Healthcare Data Standards and Compliance: Introduction to coding systems: ICD, CPT, LOINC, SNOMED CT, Health data standards and interoperability (HL7, FHIR), Ensuring data quality, accuracy, and timeliness, Overview of compliance requirements (HIPAA, GDPR, NDHM), Patient confidentiality, consent, and de-identification, Data governance and documentation protocols.

Module 4: Data Analysis Techniques and Statistical Tools: Descriptive, inferential, and predictive analytics in healthcare, Introduction to biostatistics: mean, median, correlation, regression, Using Excel, SPSS, R, Python for health data analysis, Time-series and trend analysis in patient outcomes, Risk modeling and population health management, Hypothesis testing and confidence intervals.

Module 5: Data Visualization and Reporting in Healthcare: Creating dashboards and reports using Power BI/Tableau, Visualizing trends, patterns, and outliers in clinical data, Presenting KPIs and performance metrics to stakeholders, Report customization for administrative, clinical, and financial users, Real-time analytics and alert systems, Case studies on improving healthcare delivery through analytics.

Module 6: Applications, Ethics and Career Advancement: Analytics in quality improvement, resource planning, and patient safety, Using data for public health surveillance and predictive modeling, Ethical considerations in healthcare analytics and AI, Real-world projects in hospital analytics and insurance claims, Communication and storytelling using data insights, Career pathways, certifications, and continuing education in healthcare data analytics.

GSDCI Online Assessment Detail:

  • Duration- 60 minutes.
  • Number of Questions- 30.
  • Number of Questions from each module: 5.
  • Language: English.
  • Exam Type: Multiple Choice Questions.
  • Maximum Marks- 100, Passing Marks- 50%.
  • There is no negative marking in any module.
Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30   100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 50-60 P (Pass)
6  0-49 F (Fail)

 

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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