Clinical Data Management (CDM) is a critical phase in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials, CDM course program designed to equip participants with the basic and advance knowledge and skills required for Clinical Trial Design and Protocol Development, Database Design and Implementation etc. Over the span of 07 classes, students will gain an understanding of the fundamental principles and regulations governing Clinical Data Management. Course Highlights: 1. Experts from the industry 2. Industrial case analysis 3. Covering the realistic topics which needs to groom the students for market 4. Improved approaches from feedbacks. Course Details: - All recorded lectures & content are available in the course content section. - Course content validity for Two Years. - Certificate validity Lifetime. - Students Eligibility: Any Life science candidates/ B.Pharm/ M.Pharm etc. - Course Maximum Duration: 2 months - Course completion Certificate to be issue after two months from registration date. - If Anyone need earlier Certification before two months, they should go through a Personal Interview and test series. - They Should message in Application 💬 for the urgent certification. - we are not providing jobs through our academy but guiding students to right direction. +All students are eligible to attain Upcoming Live classes for Clinical Research/ Clinical Data Management, if any For any time, any query please contact 📧defineacademyindia@gmail.com 🪀+91 63706 70196 What You Will Learn? *1.Introduction to Clinical Data Management* Overview of Clinical Data Management (CDM) Importance of data integrity in clinical trials Regulatory guidelines and standards in CDM *2.Clinical Trial Design and Protocol Development* Understanding clinical trial phases Designing data collection forms Protocol development and its impact on data management *3.Data Entry and Validation* Basics of data entry and verification processes Double-data entry vs. single-data entry Techniques for data validation and quality control *4. Database Design and Implementation* Principles of database design in clinical trials Data dictionary creation and maintenance Database implementation and user acceptance testing *5. Data Cleaning and Query Management* Identifying and resolving data discrepancies Query generation and tracking Data cleaning strategies and best practices