Master Mastering Data Management and Analysis: From Collection to Insights in 12 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Mastering Data Management and Analysis: From Collection to Insights, from foundations to a certified capstone project.
Outline
Understand data management processes, roles, and regulatory frameworks in clinical research โข Apply principles of data quality, integrity, and security to protect sensitive clinical information โข Evaluate the importance of standardized data management practices for reliable research outcomes
Outline
Design effective data collection tools and Case Report Forms (CRFs) for clinical trials โข Implement data validation protocols and quality control strategies to ensure accurate capture โข Optimize CRF structures to minimize errors and streamline downstream data processing
Outline
Explore EDC system architecture and advantages over traditional paper-based data collection โข Configure and deploy EDC platforms for efficient clinical trial data management โข Integrate EDC workflows with existing clinical research infrastructure and processes
Outline
Execute systematic data entry processes with rigorous quality control checkpoints โข Apply data cleaning techniques to identify and resolve inconsistencies, duplicates, and outliers โข Validate clinical research data against predefined rules to ensure regulatory compliance
Outline
Apply relational database design principles to organize complex clinical datasets efficiently โข Generate, track, and resolve data queries to maintain database accuracy and completeness โข Optimize database structures for rapid retrieval, reporting, and audit trail maintenance
Outline
Implement risk-based monitoring strategies to prioritize data quality oversight efforts โข Conduct source data verification to confirm accuracy and traceability of clinical records โข Establish quality assurance frameworks that align with ICH-GCP and regulatory guidelines
Outline
Develop comprehensive data analysis plans with appropriate statistical methodologies โข Calculate sample sizes and perform power analyses to ensure study statistical rigor โข Select and justify descriptive and inferential statistical techniques for diverse research questions
e-Certificate and e-Marksheet issued on successful completion.