Welcome to the End-to-End Clinical Trial Statistical Programmer Bundle, a comprehensive program designed to transform you into an expert in clinical trials, pharmaceuticals, biotechnology, pharmaceutical marketing, and business analysis. This comprehensive bundle covers seven vital courses, guiding you through the entire process of statistical programming.
What You Will Learn:
Course 1: Base and Advanced SAS (30 Hours / 4 Weeks)

• Accessing Data: Efficiently access both structured and unstructured data.
• Data Exploration: Dive into summary and descriptive statistics, sub-setting, and sorting data.
• Data Preparation: Acquire skills in creating, modifying, and updating data for analysis.
• Data Analysis: Generate various analysis reports, including summary and frequency reports.
• Data Export: Master exporting data and reports to different destinations.

Course 2: SAS SQL Programming Language (20 Hours / 3 Weeks)

• SQL Fundamentals: Learn the basics of SQL programming for data manipulation and retrieval.

Course 3: SAS Macro Programming Language (30 Hours / 4 Weeks)

• Macro Language Basics: Explore the SAS macro programming language for automation and efficiency.

Course 4: Clinical Concepts for Clinical Statistical Programmer (10 Hours / 1 Week)

• Statistical Concepts: Learn fundamental statistical concepts crucial for clinical statistical programming.
• Clinical Programming Basics: Gain insights into the basics of clinical programming.

Course 5: CDISC-SDTM Domain Mapping and Validation (30 Hours / 4 Weeks)

• CDISC Standards: Explore the concepts and applications of CDISC standards.
• SDTM Domain Mapping: Master the mapping and validation of CDISC-SDTM domains.

Course 6: CDISC-ADaM Domain Mapping and Validation (20 Hours / 3 Weeks)

• ADaM Standards: Dive into the concepts and applications of ADaM standards.
• ADaM Domain Mapping: Master the mapping and validation of CDISC-ADaM domains.

Course 7: Report Writing and TLF Generation (30 Hours / 4 Weeks)

• Report Writing Techniques: Learn the art of generating clinical trial reports using SAS.

Course Details:

• Duration: 170 hours spread across 23 weeks.
• Mode of Teaching: Online
• Batches: Choose between Weekend Batches (2 hours/day) or Weekday Batches (1 hour/day).
• Demonstrations: Engage in live demonstrations for real-time learning.
• Hands-On Activities: Apply your knowledge through hands-on activities and practice exercises for reinforced concepts.

Job Opportunities:
Upon completing this comprehensive bundle, you'll be well-equipped for roles in:

• Clinical Trials
• Pharmaceuticals
• Biotechnology Firms
• Pharmaceutical Marketing
• Business Analysis

Salary Range for a Clinical Trial Programmer:
Expect competitive salaries ranging from entry-level to mid-career positions in the clinical trials field.
Ready to Transform Your Career? Enroll Now and become an End to End Clinical Trial Statistical Programmer!
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