Professional Certificate in
Healthcare Data Analytics with Python & SQL
The Professional Certificate in Healthcare Data Analytics with Python & SQL is designed to prepare healthcare and data professionals to work directly with structured hospital datasets, clinical records, and operational databases. Offered by CliniLaunch in collaboration with Novelty Skills Training Dubai, the program focuses on enabling learners to support measurable improvements in reporting accuracy, workflow efficiency, and data-driven hospital operations.
In Partnership with
100%
Placement Assistance
IBM
Certification
1:1
Mentorship
Flexible
Training Modes
Program Overview
Career Opportunities with
Healthcare Data Analytics Course with Python & SQL
Healthcare Data Analyst
Healthcare Data Analyst
Collects and interprets healthcare data to improve reporting and outcomes.
Clinical Data Analyst
Clinical Data Analyst
Analyses clinical and patient data to support evidence-based care decisions.
Healthcare Business Intelligence (BI) Analyst
Healthcare Business Intelligence (BI) Analyst
Designs dashboards to track KPIs and drive strategic hospital decisions.
Health Informatics Specialist
Health Informatics Specialist
Optimises EHR systems and data flows for clinical operations.
Entry-Level Data Engineer (Healthcare)
Entry-Level Data Engineer (Healthcare)
Builds and maintains data pipelines and healthcare databases.
Data Analytics Consultant – Healthcare
Data Analytics Consultant – Healthcare
Provides analytics insights and solutions to healthcare organisations.
Apollo Hospitals, Fortis Healthcare, Kaiser Permanente, Cleveland Clinic Abu Dhabi, IBM Watson Health, Microsoft Healthcare, Google Health, NVIDIA Healthcare, Niramai, Qlik Sense, Philips Healthcare, IQVIA, Syneos Health, PRA Health Sciences, Parexel
Program Structure
Core (Mandatory): Professional Certificate in Healthcare Data Fundamentals (CliniLaunch, IBM)
Duration: 4 Months (120 Hours)
Provider: CliniLaunch Research Institute (iHealth PGD)
Delivery Modes: Online / Offline / Hybrid
- Track 1: Numerical Computing with NumPy – 60 Hours
- Track 2: Data Analysis with Pandas – 60 Hours
- Track 3: Python & MySQL Integration – 60 Hours
PROGRAM 1: Professional Certificate in Healthcare Data Fundamentals (120 Hours)
Foundations of AI-Driven Healthcare Management
Introduces AI in healthcare, focusing on policies, financial strategies, digital health, and data governance.
Topics Covered:
- Global & Indian healthcare ecosystem
- Public vs private health systems
- Health policies and reforms
- Healthcare economics
- ROI and risk modelling for AI projects
- AI‑enhanced financial strategy and risk management
- Digital health operations and patient‑centred services
- Introduction to data science concepts for healthcare professionals
- Data governance, privacy, security and ethics in AI
- Embedded case studies (National Health Mission AI policy, Apollo Hospitals revenue cycle AI, Fortis Hospitals queue management, NHS Data Lake governance).
Introduction to Applied AI & Analytics
Covers the basics of predictive analytics for patient flow, ICU predictive models, and workflow ethics. Introduces key machine learning libraries and tools used in healthcare analytics.
Topics Covered:
- Basics of predictive analytics for patient flow and resource utilisation
- Overview of ICU predictive models and workflow ethics
- Case study: UCSF–GE Healthcare predictive analytics
- Use of Python and classical ML libraries (Scikit‑learn, TensorFlow, PyTorch, Keras, Prophet)
- Introduction to AWS Forecast for demand prediction.
NST Program Modules
NST Track 1: Numerical Computing with NumPy
Python Foundations & Setup
Builds a strong foundation in Python programming required for data analysis and numerical computing. Covers core syntax and environment setup for hands-on work.
What You'll Learn:
- Python refresher
- Variables
- Data types
- Operators
- Control flow
- Functions and modules
- Setting up Jupyter/Colab
- Arrays vs lists
NST Track 2: Data Analysis with Pandas
Python Essentials Refresher
Builds a strong Python foundation required for data analysis. Focuses on syntax, logic, and environment setup for Pandas/NumPy.
What You'll Learn:
- Python basics
- Data structures
- Functions, loops
- Files and packages
- Installing Pandas/NumPy
IBM Integrated Innovation Programs
We offer industry-recognized programs in partnership with IBM. Delivered through the IBM LMS, these modules equip learners with enterprise-grade expertise in clinical research.
IBM Course Name
Guided Lab
Data Science 101
Data Science in Agriculture: Basic Statistical Analysis and Geo Visualization
Statistics 101
Data Science in Health Care: Basic Statistical Analysis
R for Data Science
Medical Appointment Data Analysis
Program Eligibility
For this healthcare management course, applicants must hold a Bachelor’s or Master’s degree in any discipline:
Modes of Training Delivery for Healthcare Data Analytics Course with Python & SQL
We offer Healthcare Data Analytics Course with Python & SQL training, offline training, and hybrid training. Learners get access to IBM modules through dedicated LMS from IBM Skills Network.
Online Learning
- Live interactive virtual sessions
- Flexible learning from any location
- Recorded lectures for revision
- Real-time mentor Q&A support
- LMS access for assignments and resources
Classroom - Based
- Direct interaction with expert faculty
- Immediate clarification of complex topics
- Guided, instructor-led learning experience
- Strong peer and group engagement
- Real-time mentoring and feedback
Hybrid Training
- Learn theory online, apply it in class
- Get real-time feedback from mentors
- Maintain flexibility without missing interaction
- Ideal balance of convenience and personal guidance
- Build stronger retention through blended learning
IBM Self-Learning
- Access to modules designed by IBM
- Industry-grade tech content
- Learn enterprise tools at your pace
- Get globally recognized credentials
The CliniLaunch Placement Mentorship Program
At CliniLaunch, we see every learner as a future professional in the making. Our Placement Mentorship Program is built to personally guide, nurture, and mould them through every stage of their journey — mentoring each student into a confident, capable professional ready to build a successful career in clinical research.
Assess Your Knowledge & Prepare for Interviews
Learners work closely with trainers to assess their understanding of core concepts and identify improvement areas. Through structured evaluations, mock interviews, and guided practice, they strengthen technical clarity, communication skills, and confidence to perform effectively in technical and HR interviews.
Key Support
Understand Career Roles and Develop Your Profile
In this phase, learners gain clarity on the placement process, career roles, eligibility criteria, and hiring expectations. With trainer guidance, they refine role-specific resumes and LinkedIn profiles, ensuring they are professionally positioned for suitable clinical research opportunities.
Key Support
Apply for Roles and Attend Interviews
In this phase, learners move from preparation to real job opportunities. The Placement Team maps profiles to suitable roles, prepares learners for specific interviews, coordinates with employers, and provides continuous guidance and feedback until successful placement.
Key Support
Our Strategic Partners
Everything That You Get by Enrolling in
Healthcare Data Analytics Course with Python & SQL
We’ve built this program with one goal — to guide, support, and uplift you at every stage of your career journey. From the first class to your first placement and beyond, every component has been created with your growth, confidence, and success in mind.
0% Interest Loans
100% Placement Assistance
Collaborative Learning through Teamwork
Globally Recognized Certificates
Cross skilling by domain
Curated Job Oppurtunities
Expert Career Guidance
Flexible Learning
Global Accreditations
Hands on Project
IBM Program Partner
Industry Expert Sessions
Global Outreach
Industry Leaders Council
Industry through requirement drives
Internship programs
Mock Interview
Multilingual Learning Support
Placement Mentorship
Placement scorecards
Regional Presence in South India
Resume Preparation Guidance
Retraining sessions
Student centric & employability first approach
Benefits of Learning from CliniLaunch Research Institute
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CliniLaunch Research Institute
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Non - Accredited Institute
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Accredited Institution |
CliniLaunch is an accredited institution, enhancing the credibility of the certificate. Global recognition ensures better career prospects and industry acceptance. |
Lack of accreditation may limit recognition of the certificate in the industry. Employers may question the credibility of the course from non-accredited institutes. |
Expert Faculty |
Learn from experienced industry professionals and renowned faculty. Access to high-quality teaching materials and personalized guidance. |
Courses from other institutes may lack experienced industry professionals as faculty. Quality of teaching may be compromised, affecting the learning experience. |
Diverse Career Opportunities |
Graduates gain access to a wide range of career options in clinical research and healthcare sectors. Comprehensive placement assistance ensures better job prospects and career growth. |
Graduates may face challenges in accessing a diverse range of career opportunities. Placement assistance may not be provided, making it harder to secure job placements. |
Flexible Learning Options |
CliniLaunch offers flexible learning modes, including online and offline options. Students can choose learning schedules that suit their needs and commitments. |
Other courses may offer rigid learning structures with limited flexibility in learning modes. Limited access to online resources and interactive sessions may hinder the learning process. |
Networking and Support |
Students benefit from networking opportunities with industry experts and fellow professionals. Access to exclusive events and a supportive community enhances learning experience and career advancement. |
Students may miss out on networking opportunities with industry professionals. Limited access to exclusive events and networking platforms may hinder career growth. |
Healthcare Data Analytics Course with Python & SQL + IBM – Course FAQs
Everything you need to know about the course and admissions.
This healthcare data analytics course is open to healthcare and life-science professionals, data, IT, and engineering graduates, and working professionals from healthcare, analytics, business, or technology domains. Diploma holders with relevant experience or portfolios may also apply, subject to academic review. No prior coding or analytics background is mandatory, as fundamentals are covered from the ground up.
International combo programs integrate academic depth with technical specialisation across two institutions. In this structure, CliniLaunch delivers healthcare-domain fundamentals aligned with real healthcare ecosystems, while Novelty Skills Training Dubai delivers technical analytics or engineering specialisation. This dual-layer model ensures domain understanding plus tool mastery, unlike single-institute programs that often focus only on tools or only on theory.
Yes. The program is structured to support working professionals and career switchers. The flexible delivery model, recorded sessions, and structured mentorship enable learners to upskill without interrupting professional commitments.
The program is structured into two major components: • Core Healthcare Data Fundamentals (4 months – 120 hours) delivered by CliniLaunch • Technical Specialisation Track (2 months – 60 hours) delivered by NST Dubai Learners first build healthcare ecosystem understanding, governance, AI fundamentals, and analytics foundations, followed by hands-on specialisation in NumPy, Pandas, or Python & MySQL integration.
Sessions are delivered by a combination of healthcare-domain faculty, technical trainers, and industry-aligned mentors. Core healthcare modules are taught by subject experts with healthcare and digital health experience, while technical tracks are handled by experienced analytics and database professionals.
Flexible scheduling options are available based on batch selection. Both weekday and weekend batches are typically offered to accommodate working professionals and full-time learners.
Upon successful completion, learners receive the Healthcare Data & Engineering Certification from CliniLaunch Research Institute, along with one role-based specialisation certificate based on the chosen track: Numerical Computing with Python (NumPy) Applied Data Analysis with Pandas Python & MySQL for Data Engineering Learners also earn IBM digital badges through IBM skill modules in Data Science, Statistics, Healthcare Analytics, and R for Data Science, along with guided lab certifications accessed via the IBM Learning Management System.
Graduates can move into roles such as Healthcare Data Analyst, Clinical Data Analyst, Healthcare Informatics Specialist, Healthcare Business Intelligence Analyst, and Entry-Level Data Engineer. Entry-level salaries in GCC and global markets typically start around AED 72,000–96,000 per year, with growth to AED 144,000–240,000+ as experience, specialisation, and responsibility increase across analytics, informatics, and engineering roles.
The certification demonstrates structured training in healthcare systems, governance, analytics, and technical implementation. It signals readiness for healthcare data analyst, informatics, BI, and entry-level data engineering roles, particularly in GCC and global healthcare environments where domain-specific analytics training is valued.
The course fee includes: • Core healthcare data training (120 hours) • One technical specialisation track (60 hours) • IBM guided labs and digital badges • LMS access with recorded sessions • Capstone project guidance • Academic mentoring and assessments • Career mentorship support
Yes. Learners receive resume review, LinkedIn optimisation guidance, and mock interview preparation sessions tailored to healthcare data analyst, informatics, BI, and entry-level data engineering roles.
The healthcare data analytics course follows a structured hybrid learning model with live instructor-led sessions, recorded lectures, IBM-guided labs, hands-on analytics exercises, healthcare case studies, and a capstone project. It is designed for graduates and working professionals seeking practical skills in healthcare analytics, informatics, and data engineering within real healthcare environments.
Learners complete an end-to-end, role-aligned capstone project based on their chosen specialisation track. Projects focus on healthcare data analysis, KPI reporting, time-series trends, simulations, or database-driven automation using real healthcare datasets, ensuring practical, job-ready outcomes rather than purely academic exercises.
Learners receive continuous academic and technical support from experienced healthcare and data faculty. This includes live doubt-clearing sessions, structured guidance for IBM labs, capstone mentoring, LMS access, regular assessments, and feedback aligned with healthcare analytics, BI, informatics, and data engineering roles.
Participants receive 24×7 LMS access with recorded sessions, analytics exercises, real-world healthcare datasets, IBM lab access, case studies, project templates, and learning resources. These resources strengthen practical understanding of healthcare data workflows, analytics techniques, and database-driven reporting systems.
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“I have enrolled for Adv diploma in CR IN CLRI ,i recently started with this course , The course is well structured and concepts are thought clearly and in a very understandable manner, The corporate ettique classes by Nusfia were very clear and relevant and Dr Anjali chhabbra ‘s explanation for CR classes are very good she makes the concept easy to grasp. The Lms system is a great advantage as you will not miss any classes and all the recorded sessions will be available throughout your course period. Iam looking forward to continuing the course and gaining deeper insights”
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“I'm Pavitra, currently undergoing advanced diploma in medical coding training in clini launch research institute. The sessions were very good, and the trainers also helped a lot and clarify doubts. Medical coding trainer Vinaya Mam is a good trainer. Communication English is also a part of medical coding training. At that I met Sushmita Mam. She encourages me a lot. I'm really very thankful for choosing this institute as part of my career.”
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“Hi, I am Dharshini. I have enrolled in Clinical Research and SAS at CLRI. The non-technical session conducted by Akanksha Ma’am was extremely engaging and impactful. She created a very friendly learning atmosphere and motivated us to communicate freely. Her teaching style, patience, and real-life examples made the class interesting and practical. I feel more confident to express myself in English now. Looking forward to more sessions with her. Thank you Ma’am for your support, guidance, and for helping us improve our communication and soft skills that are valuable for our professional journey.”
Lashika Lazarus
“Hii, my self Lashika.L K ,I am currently pursing in advanced diploma in clinical research from clinilaunch research Institute.it has been one month now I m learning at Clinilaunch. The teachers are amazing and very supportive. I had completed Pharm D . Here the mentors are teaching well with real life examples to understand the concepts very easily. They helping to understand every concept.It will be very usefull for all students at the time of interview sessions.Thank you for Everyone .”
Manisha Manisha
“I recently completed my PG Advanced Diploma in Clinical Research and had a great learning experience. The course was well-structured with clear concepts, updated syllabus, and practical insights into pharmacovigilance, regulatory affairs, and clinical trials. The faculty were supportive and explained topics in a simple and professional way. The study materials and online sessions were very helpful to strengthen my knowledge and skills. Overall, it was a valuable program that enhanced my career confidence in the field of clinical research. I highly recommend this course to anyone who wants to build a strong foundation in clinical research.”
Soumya Halladamal
“I have enrolled for clinical research and medical coding in cliniLaunch institute. It's a good platform for students to learn, upgrade and gain knowledge. The staff's are very cooperative like nusfia ma'am almost my classes were engaged by her I liked her teaching,she makes us grasp all the points within the class and makes us understand well and medical coding class is taken by lavanya ma'am even she teaches good. Other staff's like Pooja ma'am, meri ma'am and Akanksha ma'am all were good . During my course prasanna sir has helped me a lott,I have not yet completed my course due to personal reasons so even when I requested them a leave they have accepted it. So overall it's a good learning platform. Thank you ”
Samruddhi Surve
“ I have recently enrolled in Clinical Research course at CLRI and it has been a great learning experience. The technical as well as non-technical sessions are well-structured with clear concepts, and practical insights related to the clinical research field. The non-technical sessions conducted by Ms. Akansha are also insightful and fun. The clear and concise presentations and communications make me look forward to the sessions. Your guidance on communication and soft skills has been invaluable for professional growth, and I’m truly grateful for your support! ”
Vijayakrishnan P
“Hi, iam vijayakrishnan I'm currently pursuing AI and Ml course in clinilaunch it's a very good overall experience all the lectures are easy to understand and lecturers are very friendly and explaining everything in a easy way and ready to teach many times also if you had any doubts it's very rare in other institutions. And also their way of treating students are also very good thank you clinilaunch so much.”
pinky patel
“I have joined clri for advanced diploma inmedical coding .it has been 15 days now I m learning at Clinilaunch. The teachers are amazing and very supportive. Everyone is helping me a lot from the start .A big thank you to the teachers who r very dedicated to us...and special thanks to akansha mam she is helping me a lot in my communicative english.thanku. here...”
Sooryagayathri Sujith
“I’m really thankful to CliniLaunch Research Institute for their continuous guidance and support throughout my learning journey. The training sessions were very informative and industry-oriented, which helped me build a strong understanding of Clinical Research and Pharmacovigilance. I truly appreciate the efforts of the mentors and placement team for their encouragement and assistance . I would definitely recommend CLRI to anyone who wishes to start a career in the field of Clinical Research or Pharmacovigilance.”
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