Online SAS TRAINING Course List in BOSTON

SAS (Statistical Analysis System) is a comprehensive data analysis and management software suite. It is a powerful tool that enables users to retrieve and manipulate data, perform various operations, and present the findings in diverse formats. This is particularly beneficial when transitioning data from basic spreadsheets to more complex databases. SAS empowers users to illustrate data with relevant figures, such as tables, online documents, and visual graphical representations.

Through its robust capabilities, SAS facilitates data analysis, aiding decision-making and drawing conclusions. Its significance goes beyond basic statistical analysis it seamlessly integrates itself into a broader spectrum of applications. This makes it an invaluable asset for conducting thorough research by managing and analyzing large volumes of data, an essential skill for the data-driven world we live in today.

At Octovion, we are committed to providing clinical SAS training by top-notch experts who are market specialists. We aim to create informative, engaging, structured clinical SAS training that resonates with your audience. By breaking down complex topics into easily digestible sections, we ensure that the clinical SAS training is easy to understand and implement in real time.

Our team of experts is dedicated to offering clinical SAS training, including real-world instances that help students grasp each topic clearly and effectively. Participants can work with real clinical trial data, applying SAS tools and techniques to manipulate, clean, validate, and analyze data. This practical exposure honed their skills and confidence in working with data sets. We also provide career support, including guidance on job placements, interview preparation, and resume building, helping participants make a smooth transition into the industry.

Eligibility and Prerequisites for clinical SAS training

Meeting the eligibility criteria and prerequisites is important to enroll in clinical SAS training in Boston. While a minimum bachelors degree in a relevant field such as life sciences, pharmacy, nursing, or statistics is recommended, it is not an absolute requirement.

This SAS training course is also open to recent graduates seeking a career in analytics and data science. Moreover, even IT professionals considering a transition to analytics can benefit greatly from this course.

Clinical SAS training Course Contents

The following is the clinical SAS training that is meticulously designed by experts to equip participants with the skills and knowledge necessary to effectively manage and analyze clinical trial data using the SAS software.

• BASE SAS
  • Introduction to SAS: Understanding the basics of SAS software and its interface.
  • Data Manipulation: Learning to import, clean, and transform data for analysis.
  • Variables and Functions: Exploring variables data types, and using functions for data manipulation.
  • Conditional Processing: Introducing IF-THEN-ELSE statements for conditional data processing.
  • Data Summarization: Utilizing PROC MEANS and PROC FREQ to generate summary statistics.
  • Merging and Appending: Combining datasets using SET, MERGE, and more techniques.
• ADVANCED SAS
  • Advanced Data Manipulation: Diving deeper into data manipulation techniques using advanced functions and techniques.
  • Advanced Reporting: Creating complex and customized reports using PROC REPORT and ODS.
  • Macro Programming: Understanding the basics of macro programming for automation and efficiency.
  • SQL and SAS: Integrating SQL with SAS for enhanced data retrieval and processing.
  • Efficiency Techniques: Exploring tips and tricks to optimize SAS code for performance.
• CLINICAL SAS
  • Introduction to Clinical Trials: Understanding the context of clinical trials in the pharmaceutical industry.
  • Data Collection and Validation: Managing and validating clinical trial data using SAS.
  • SDTM and ADaM Standards: Applying CDISC standards for data tabulation and analysis.
  • Safety and Efficacy Analysis: Analysing safety and efficacy data from clinical trials.
  • Reporting for Regulatory Submission: Creating reports compliant with regulatory requirements.
• CLINICAL DATA MANAGER
  • Clinical Data Management Process: Understanding the end-to-end process of clinical data management.
  • eCRF Design and Data Entry: Designing electronic Case Report Forms (eCRFs) and managing data entry.
  • Data Quality Checks: Performing data quality assessments and implementing data validation rules.
  • Database Lock and Freeze: Managing data for analysis by locking and freezing the database.
  • Data Archival and Compliance: Ensuring data archiving and compliance with industry standards.
• PLATFORM ADMINISTRATOR
  • SAS Platform Overview: Understanding the components and architecture of the SAS platform.
  • User and Role Management: Managing users, roles, and access to SAS resources.
  • Server Monitoring: Monitoring and maintaining the health and performance of SAS servers.
  • Security Implementation: Implementing security measures to protect SAS resources and data.
  • Troubleshooting and Support: Identifying and resolving issues within the SAS platform.
• SAS MODELLING (PREDICTIVE)
  • Predictive Analytics Introduction: Understanding the concepts and importance of predictive modeling.
  • Data Preparation for Modeling: Preparing data for predictive modeling using SAS tools.
  • Model Building Techniques: Exploring various modeling techniques such as regression, decision trees, and more.
  • Model Assessment and Validation: Evaluating model performance and validating results.
  • Model Deployment: Deploying predictive models for real-world applications.
• SAS DATA INTEGRATION STUDIO
  • ETL Process Overview: Understanding the Extract, Transform, Load (ETL) process.
  • Data Source Connections: Connecting to various data sources for integration.
  • Data Transformation: Applying transformations to cleanse and reshape data.
  • Job Design and Automation: Designing integration jobs and automating processes.
  • Error Handling and Monitoring: Implementing error handling mechanisms and monitoring job execution.
• DATA MINING WITH STATISTICS
  • Introduction to Data Mining: Understanding the fundamentals of data mining and its applications.
  • Data Exploration and Preprocessing: Exploring and preparing data for data mining.
  • Statistical Techniques: Applying statistical methods for pattern recognition and analysis.
  • Predictive Modeling: Building models to make predictions based on historical data.
  • Interpreting Results: Analyzing and interpreting results from data mining models.
• BUSINESS INTELLIGENCE
  • Business Intelligence Concepts: Understanding the role of BI in decision-making and strategy.
  • Data Visualization: Creating effective visualizations using tools like SAS Visual Analytics.
  • Dashboard Creation: Designing interactive dashboards to convey insights.
  • Reporting Automation: Automating the process of generating and distributing reports.
  • Performance Monitoring: Monitoring key performance indicators (KPIs) using BI tools.
• DATA MANAGEMENT AND REPORTING
  • Data Governance: Implementing practices to ensure data quality, security, and compliance.
  • Data Warehousing: Designing and maintaining data warehouses for efficient reporting.
  • Report Design and Delivery: Reporting reports to stakeholders using SAS tools.
  • Ad Hoc Querying: Enabling users to perform ad hoc queries for on-demand insights.
  • Continuous Improvement: Applying feedback and insights to improve data management and reporting processes.

If you are eager to know more about clinical data management and wish to have a strong foundation in SAS, our Clinical SAS training in Boston is the ideal stepping stone.

Feel free to contact us for further details, enrollment, or questions. We are here to support your learning and growth every step of the way.

Drop us an email at: info@octovion.com or Submit your details in the form below.