Data management, Data analysis, Data processing,Data integration, Data transformation, Statistical analysis, Data quality assurance, Data governance, Database management, Data architecture, Data interpretation
Data Management in Clinical Research involves the systematic collection, processing, and analysis of clinical trial data to ensure accuracy, integrity, and compliance with regulatory standards. It ensures reliable and high-quality data for informed decision-making throughout the research process.
This program aims to equip participants with the skills and knowledge required for effective data management and analysis in clinical research. Participants will learn best practices for data collection, validation, cleaning, analysis, and interpretation, enabling them to generate meaningful insights and contribute to evidence-based decision-making.
Week 1: Introduction to Data Management in Clinical Research
Week 2: Data Collection and Case Report Form (CRF) Design
Week 3: Electronic Data Capture (EDC) Systems
Week 4: Data Entry and Cleaning
Week 5: Database Design and Query Management
Week 6: Data Monitoring and Quality Assurance
Week 7: Data Analysis Planning and Statistical Considerations
Week 8: Descriptive and Inferential Statistics
Week 9: Data Visualization and Graphical Presentations
Week 10: Statistical Software for Data Analysis
Week 11: Interpreting and Reporting Research Findings
Week 12: Data Sharing and Secondary Analysis
Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Healthcare and Medical Research Sector
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
