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Certificate in Healthcare Data Analytics

Certificate in Healthcare Data Analytics

₹6,000.00 ₹3,000.00

50% fee concession will end in

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

Description

Course Name: Certificate in Healthcare Data Analytics

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

Eligibility: Graduation or Equivalent.

Duration: Three Months.

Objective: The Certificate in Healthcare Data Analytics 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.

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 the online assessment, the soft copy of your certificate will be sent to your registered email ID within 5 days.

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 strengthens your professional profile across borders and demonstrates your skills to employers and institutions.

2. Quality Assurance through ISO Certification – Programs follow an ISO-certified quality management system to promote consistency, reliability, and a standardized learning experience.

3. Career Advancement & Employability – Enhance your résumé, demonstrate professional competence, and improve your prospects for career growth, promotions, or suitable job opportunities.

4. Non-Profit Trust Factor – Certification from a non-profit organization reflects a mission-driven approach focused on skill development, professional learning, and public benefit.

5. Access to Learning Resources – Gain access to useful learning resources such as e-books, mock tests, assessments, and online academic support.

6. Transparency & Online Verification – Each certification includes a unique enrolment or certificate ID, enabling convenient online verification by employers and other interested parties.

7. Lifetime or Long-Term Validity – Certifications may offer lifetime or extended validity, reducing the need for frequent renewal, subject to the applicable certification scheme.

Course Rating

4.6/5
★★★★★
★★★★★

Based on 32 student ratings

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A 50% fee concession is applicable on all certification up to 30th September 2026.

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