Clinical Data Science Course in Dubai
This Clinical Data Science course in Dubai shows how programming and statistics are used on healthcare and trial data.
About the Clinical Data Science course in Dubai
This Clinical Data Science course in Dubai shows how programming and statistics are used on healthcare and trial data. It helps analysts, clinicians, IT staff and graduates in the UAE who want to work in health analytics, research or pharma data teams.
Clinical data science applies programming and statistics to healthcare and clinical trial data. It helps teams find patterns, check outcomes and support decisions with evidence.
Solve Tech's Clinical Data Science course in Dubai runs for 40 Hours, delivered online, offline and hybrid, with weekend and weekdays batches at our Deira centre near Al Rigga Metro. It suits life science graduates, pharmacists, nurses and healthcare staff moving into specialised roles. Sessions are led by a trainer and built around exercises you complete yourself, so you leave with work you can show. Learners often pair it with Regulatory Affairs or SAS Exams & Certification. Classroom learners come to Mabrooka Building 04 on Al Muraqqabat Road, a short walk from Al Rigga Metro Exit 2, and online learners follow the same syllabus live. You can compare every option under Clinical & Healthcare courses. Ask a training advisor for the full module list, current fee and next start date.
Watch: training at Solve Tech
Why Solve Tech
- Trainers from the fieldEngineers with design, contracting and facilities experience.
- Project-based learningYou complete the work yourself and your trainer reviews it.
- Flexible batchesWeekday, evening and weekend, in class or live online.
- KHDA-permitted instituteCourse completion certificate, with KHDA attestation for eligible courses.
- Central Deira locationNear Deira Clocktower and Al Rigga Metro Station, Exit 2.
- Honest course adviceAn advisor matches the course to your background.
What You Learn in the Clinical Data Science Course in Dubai
- Clean and prepare clinical datasets in Python
- Explore data with summary statistics and charts
- Apply basic hypothesis tests and regression
- Build simple predictive models
- Judge model results and avoid common errors
- Handle missing data and outliers
- Understand data privacy in health settings
- Present findings to non-technical colleagues
Who Should Take the Clinical Data Science Course
- Healthcare staff curious about data analysis
- IT and analytics professionals entering health
- Life science and statistics graduates
- Researchers handling patient or trial data
Tools Covered in the Clinical Data Science Course
- Python
- pandas
- NumPy
- scikit-learn
- Jupyter Notebook
- SQL
- Microsoft Excel
Benefits of the Clinical Data Science Training Course
- Builds data skills that fit hospital analytics and research units in the UAE
- Gives practice with realistic health datasets rather than abstract examples
- Helps you explain results clearly to doctors and managers
- Supports a move from reporting into analysis roles
Clinical Data Science Course Outline
Module 1: Health Data Landscape
- Types of clinical data
- Trial data versus real-world data
- Common data sources
- Data quality issues
Module 2: Python for Data Work
- Python basics
- Using pandas
- Importing and cleaning data
- Basic plots
Module 3: Statistics Essentials
- Descriptive statistics
- Confidence intervals
- Common hypothesis tests
- Interpreting p-values carefully
Module 4: Modelling Basics
- Linear and logistic regression
- Train and test splits
- Measuring model performance
- Overfitting
Module 5: SQL and Data Preparation
- Querying tables
- Joining records
- Handling missing values
- Creating analysis datasets
Module 6: Ethics and Privacy
- Patient confidentiality
- De-identification concepts
- UAE health data rules overview
- Bias in health models
Module 7: Practical Exercise
- Select a sample dataset
- Clean and explore the data
- Build and test a model
- Present a short findings report
Guides to read before you enrol
Certificate
You receive a Solve Tech course completion certificate after the course and its assessment. KHDA-attested certificates are available for eligible courses. How our certificates work
Related Clinical & Healthcare courses
View allFAQ About Clinical Data Science Courses
How long is the Clinical Data Science course?
The Clinical Data Science course is 40 Hours.
Who should take the Clinical Data Science course?
Healthcare staff curious about data analysis; IT and analytics professionals entering health; Life science and statistics graduates; Researchers handling patient or trial data.
Which tools are covered in the Clinical Data Science course?
Python, pandas, NumPy, scikit-learn, Jupyter Notebook, SQL, Microsoft Excel.
Is this the same as the Clinical SAS course?
No. This course uses Python and general data science methods. The SAS course focuses on SAS programming for trial reporting.
Do I need coding experience?
No. Python is taught from the start, though comfort with spreadsheets and logical thinking will help you move faster.
Is the Clinical Data Science course available online?
Delivery modes for this course: Online, Offline, Hybrid. Ask an advisor for the next batch in the mode you prefer.
Can I attend on weekends?
This course runs on: Weekend & Weekdays.
Where is the Clinical Data Science course held in Dubai?
At Solve Tech Training Institute, Office M09, Mabrooka Building 04, Al Muraqqabat Road, near Deira Clocktower. The nearest metro is Al Rigga Station, Exit 2.
What is the fee?
Fees depend on the format and batch. Send an enquiry to receive the current fee.
About Solve Tech Training Institute
Solve Tech Training Institute is a KHDA-permitted technical and occupational skills training centre in Deira, Dubai. We teach engineering, technical and professional courses in the classroom, live online and on site for companies, with trainers who work in the fields they teach. This page is published by the Solve Tech training team and was last updated in October 2026.
About usAccreditation and certificatesPhotos of our labsContact and map
Al Muraqqabat Road, near Deira Clocktower
Dubai, UAE
+971 50 691 4688