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DSTC-01194 Online (e-LMS) Graduate / Intermediate

Mastering Data Management and Analysis: From Collection to Insights

by - DSTC

Master Mastering Data Management and Analysis: From Collection to Insights in 12 weeks through hands-on, project-based online training with DSTC.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 12 Weeks ยท 120 hrs โ€ข e-Certificate Included
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From โ‚น2,500 + GST

๐Ÿ“š Syllabus & Course Curriculum

Data Science & Analytics

Module-by-module breakdown of Mastering Data Management and Analysis: From Collection to Insights, from foundations to a certified capstone project.

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Outline

Understand data management processes, roles, and regulatory frameworks in clinical research โ€ข Apply principles of data quality, integrity, and security to protect sensitive clinical information โ€ข 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 โ€ข Implement data validation protocols and quality control strategies to ensure accurate capture โ€ข Optimize CRF structures to minimize errors and streamline downstream data processing

Outline

Explore EDC system architecture and advantages over traditional paper-based data collection โ€ข Configure and deploy EDC platforms for efficient clinical trial data management โ€ข Integrate EDC workflows with existing clinical research infrastructure and processes

Outline

Execute systematic data entry processes with rigorous quality control checkpoints โ€ข Apply data cleaning techniques to identify and resolve inconsistencies, duplicates, and outliers โ€ข Validate clinical research data against predefined rules to ensure regulatory compliance

Outline

Apply relational database design principles to organize complex clinical datasets efficiently โ€ข Generate, track, and resolve data queries to maintain database accuracy and completeness โ€ข Optimize database structures for rapid retrieval, reporting, and audit trail maintenance

Outline

Implement risk-based monitoring strategies to prioritize data quality oversight efforts โ€ข Conduct source data verification to confirm accuracy and traceability of clinical records โ€ข Establish quality assurance frameworks that align with ICH-GCP and regulatory guidelines

Outline

Develop comprehensive data analysis plans with appropriate statistical methodologies โ€ข Calculate sample sizes and perform power analyses to ensure study statistical rigor โ€ข Select and justify descriptive and inferential statistical techniques for diverse research questions

Earn government-registered certification in Mastering Data Management and Analysis: From Collection to Insights

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

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The proforma invoice is emailed here as well as to you.
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