Mastering Data Management and Analysis: From Collection to Insights

Data management, Data analysis, Data processing,Data integration, Data transformation, Statistical analysis, Data quality assurance, Data governance, Database management, Data architecture, Data interpretation

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MODE
Virtual (Google Meet)

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Months

VIDEO LENGTH
1

About

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.

Aim

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.

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Short Courses Objectives

Understand the principles and standards of data management in clinical research.
Learn best practices for data collection, validation, cleaning, and database design.
Gain proficiency in statistical methods for analyzing clinical research data, including descriptive statistics, hypothesis testing, and regression analysis.
Develop skills in using statistical software for data analysis and visualization.
Learn techniques for interpreting research findings, presenting data effectively, and generating evidence-based insights.

Short Courses Structure

Week 1: Introduction to Data Management in Clinical Research

Overview of data management processes and roles
Importance of data quality, integrity, and security

Week 2: Data Collection and Case Report Form (CRF) Design

Designing data collection tools and CRFs
Data validation and quality control strategies

Week 3: Electronic Data Capture (EDC) Systems

Introduction to EDC systems and their benefits
Implementation and utilization of EDC systems in clinical trials

Week 4: Data Entry and Cleaning

Data entry processes and quality control
Cleaning and validation of clinical research data

Week 5: Database Design and Query Management

Principles of database design and organization
Query management and resolution in clinical databases

Week 6: Data Monitoring and Quality Assurance

Implementing data monitoring and quality assurance processes
Risk-based monitoring and source data verification

Week 7: Data Analysis Planning and Statistical Considerations

Planning data analysis and selecting appropriate statistical methods
Sample size determination and power calculations

Week 8: Descriptive and Inferential Statistics

Descriptive statistics for summarizing and presenting data
Inferential statistics for hypothesis testing and estimation

Week 9: Data Visualization and Graphical Presentations

Techniques for effective data visualization
Creating graphs and figures for research presentations

Week 10: Statistical Software for Data Analysis

Introduction to statistical software (e.g., R, SAS, SPSS)
Data manipulation, analysis, and visualization using statistical software

Week 11: Interpreting and Reporting Research Findings

Interpreting statistical results and drawing meaningful conclusions
Reporting research findings in scientific papers and presentations

Week 12: Data Sharing and Secondary Analysis

Ethical considerations in data sharing and secondary analysis
Reproducibility and open science in clinical research

Intended For

Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Healthcare and Medical Research Sector

Short Courses Outcomes

Competence in data management principles and best practices in clinical research.
Proficiency in data collection, validation, cleaning, and database design.
Skills in statistical analysis and interpretation of clinical research data.
Ability to use statistical software for data analysis and visualization.
Proficient presentation of research findings and evidence-based insights.

Fee Structure

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies