Overview
Are you looking to start a career in clinical research, pharmaceutical data management, or SAS programming? As clinical trials become more data-driven, organisations need professionals who can manage research information and support accurate reporting. Whether you are a life science graduate, aspiring Clinical Data Manager, SAS programmer, or clinical research professional, this Clinical Data Management Using SAS Programming course builds essential industry knowledge.
To develop your understanding, the course covers:
✓ Clinical trial phases and Clinical Trial Data Management principles.
✓ Study documents, ethical consent, SAP, and CRFs.
✓ Clinical Trial SAS Programming for data analysis and reporting.
✓ Clinical study reports using SAS for Clinical Trials.
As a result, this Clinical Data Management Course supports learners seeking Clinical Data Management Training, a Clinical SAS Programming Online Course, and a pathway towards Clinical Data Management Certification.
Course Description
Clinical trials rely on accurate data management, organised processes, and reliable reporting. Therefore, professionals with knowledge of clinical research and SAS programming are increasingly valued in the pharmaceutical sector. This Clinical Data Management Using SAS Programming course introduces the full clinical data journey, from understanding trial structures to developing clinical study reports. In addition, it combines clinical research concepts with SAS-based reporting methods used in healthcare research.
The course begins with the pharmaceutical industry, clinical trial phases, data types, and reports generated during research studies. Next, you will explore key clinical documents, including study protocols, ethical consent, inclusion and exclusion criteria, statistical analysis plans (SAP), mock shells, and case report forms (CRFs). These topics help you understand how clinical studies are planned, documented, and managed.
Furthermore, the course introduces Clinical Trial SAS Programming by covering SAS programming steps for clinical reporting. You will learn how to import demographic data, derive variables, create summary statistics, combine datasets, transpose data, and develop final reports.
Delivered as a flexible Clinical SAS Programming Course, this programme strengthens your understanding of Clinical Research Data Management, SAS for Clinical Trials, and clinical reporting workflows. Moreover, it supports learners preparing for Clinical Data Management Certification, a SAS Programming Certification Course, or SAS Clinical Programming Certification while building valuable knowledge for a career in clinical research.
Learning Outcome
After completing this course, you will be able to:
- Understand the pharmaceutical industry, clinical trial phases, and key principles of Clinical Trial Data Management.
- Analyse clinical study documents, including protocols, ethical consent forms, SAP, mock shells, and CRFs.
- Apply Clinical Trial SAS Programming concepts to manage and organise clinical research data.
- Develop demographic reports by importing datasets, deriving variables, and generating statistical summaries using SAS.
- Evaluate clinical reporting workflows to improve accuracy and consistency within Clinical Research Data Management.
- Demonstrate knowledge of SAS for Clinical Trials and its role in clinical research reporting.
- Implement the skills gained through this Clinical SAS Programming Online Course to support future Clinical Data Management Certification and SAS career pathways.
Who Is This Course For?
- Life science graduates who want to begin a career in clinical research and Clinical Data Management.
- Aspiring SAS programmers looking to develop skills through a Clinical SAS Programming Course.
- Clinical research professionals who want to strengthen their knowledge of Clinical Trial Data Management.
- Data management professionals aiming to improve their understanding of Clinical Research Data Management and SAS reporting.
- Pharmaceutical professionals seeking knowledge of clinical trial processes, documentation, and data workflows.
- Career changers exploring opportunities in SAS programming and healthcare data management.
- Learners preparing for Clinical Data Management Certification or SAS Clinical Programming Certification through online study.
Certificate of Achievement
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Career Path
- Clinical Data Manager – Manage clinical databases, review data quality, and support accurate trial reporting throughout the research process. Professionals in this role work closely with clinical teams to maintain reliable study information. Knowledge from a Clinical Data Management Course can support career progression.|Average UK salary: £40,000–£60,000 per year.
- Clinical SAS Programmer – Create SAS programs, prepare clinical datasets, and generate reports used in pharmaceutical research. Skills in Clinical Trial SAS Programming and SAS for Clinical Trials are valuable for developing accurate clinical outputs.|Typical salary range: £45,000–£75,000 annually.
- Clinical Data Coordinator – Support clinical studies by organising research data, checking information accuracy, and assisting with database activities. Completing Clinical Data Management Training can help build the knowledge required for this role.|Expected salary: £28,000–£42,000 per year.
- Clinical Research Associate (CRA) – Monitor clinical studies, review trial documentation, and support compliance with research standards. Understanding Clinical Research Data Management helps professionals work effectively with study teams.|Salary range: £35,000–£55,000 annually.
- Biostatistics Assistant – Assist with clinical datasets, statistical outputs, and research reports while supporting wider clinical teams. Knowledge from a Clinical SAS Programming Online Course can strengthen skills for data-focused positions.|Average salary: £32,000–£50,000 per year.
- Clinical Trial Coordinator – Coordinate research activities, maintain study records, and communicate with investigators and sponsors. A background in Clinical Trial Data Management supports effective management of clinical trial processes.|Typical earnings: £30,000–£45,000 annually.
Frequently Asked Questions
Clinical Data Management involves collecting, organising, validating, and maintaining clinical trial data to ensure accuracy, quality, and compliance. It is a vital part of Clinical Research Data Management and supports reliable study results and regulatory reporting.
Clinical Data Management focuses on data collection, quality checks, and database management. In contrast, Clinical Trial SAS Programming uses validated data to generate statistical summaries, reports, and clinical study outputs for analysis and decision-making.
SAS for Clinical Trials helps professionals manage datasets, analyse clinical data, and produce accurate reports. Its reliability, consistency, and acceptance across the pharmaceutical industry make it an essential tool for clinical research.
This Clinical SAS Programming Course covers clinical trial phases, study documents, SAS programming fundamentals, demographic reporting, data transformation, and reporting workflows used in Clinical Trial Data Management.
This Clinical SAS Programming Online Course is ideal for life science graduates, clinical research professionals, aspiring SAS programmers, and anyone seeking Clinical Data Management Training or a Clinical Data Management Course to build industry-relevant knowledge.
Yes. The course strengthens your understanding of clinical research and SAS programming while supporting preparation for Clinical Data Management Certification, SAS Programming Certification Course, and SAS Clinical Programming Certification to enhance your career prospects.
Clinical Data Management – Using SAS Programming Reviews
Excellent
98%
Would Recommend113
Certified Learners100%
Authentic ReviewsA well-structured course that explained clinical data management and SAS reporting in a very clear way.
The lessons were easy to follow and gave me a much better understanding of clinical trial workflows.
Excellent course with practical examples that made SAS reporting much easier to understand.
Curriculum
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Course Promo
00:01:00
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1.1 Components of the Pharma Industry
00:05:00
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1.2 Phases of Clinical Trials
00:06:00
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1.3 Data and Reports in Clinical Trials
00:04:00
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1.4 Types of Data
00:05:00
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2.1 Clinical Study Protocol
00:02:00
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2.2 Ethical Consent
00:01:00
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2.3 Inclusion-Exclusion Criteria
00:01:00
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2.4 Statistical Analysis Plan: SAP, Mockshell and CRF
00:04:00
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3.1 General SAS Programming Steps
00:02:00
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3.2 One Search Report: Demographics Table
00:04:00
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3.3 Understanding the Demographics Table
00:03:00
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3.4 Programming the Demographics Table
00:05:00
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3.5 Importing Raw Demographic Data into the SAS
00:04:00
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3.6 Deciding what Procedure to Use
00:02:00
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3.7 Deriving the AGE variable
00:10:00
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3.8 Obtaining Summary Statistics for AGE
00:04:00
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3.9 Adding the 3rd Treatment Group using Explicit Output
00:05:00
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3.10 Deriving the SEX variable
00:02:00
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3.11 Obtaining Summary Statistics for SEX
00:03:00
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3.12 Concatenating the COUNT and PERCENT Variables
00:03:00
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3.13 Deriving the RACE Variable
00:03:00
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3.14 Obtaining Summary Statistics for RACE
00:03:00
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3.15 Stacking All the 3 Summary Statistics Together
00:06:00
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3.16 Fixing the Precision Points
00:04:00
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3.17 Transposing Data
00:03:00
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3.18 Fixing the Order of Statistical Parameters
00:05:00
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3.19 Building the Final Report
00:02:00
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3.20 Putting the Final Touches to the Report
00:11:00
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Resources – Clinical Data Analysis with SAS
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Offer Ends in
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Duration:1 hour, 53 minutes
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Access:1 Year
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Units:31

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