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Statistical Analysis System(SAS) Training

SAS (Statistical Analysis System) was developed for the data management analysis. SAS course will help immensely to support your standard clinical data ad it will also boost up the speed and efficiency to create repeated data integration tasks.SAS is a Statistical Analysis Software, which is driven by SAS programs, where programs are sequence of steps to perform different operations on data which is stored as tables. The functionality of SAS programs are intended to be accessed via programming interface in the form of statements and procedures.

Overview

  • Lectures 26
  • Quizzes 1
  • Duration 60 hours
  • Skill level Beginner
  • Language English
  • Assessments Yes
Learning Outcomes & Flexibilities
  • Course Name: SAS online training
  • Course Category: Clincial SAS / Financial SAS
  • Duration: 35 Hrs (5 days a Week, Daily 1 Hour)
  • Project: Real time project with Sample resume preparation (Optional)
  • Study Material: All Standard Material (Soft Copy).
  • Practice Material: 35 Days of Theory and 35 Days of Practical Tasks, Intrim Assessments (5), FAQs, Interview Questions, Practice based Base SAS Certification Mocks papers.
  • Training Mode: One to One/Many Interaction (Skype / Gotomeeting).
  • Standard Course: Following SAS Institute Standard Course of BASE SAS CERTIFICATE

Curriculum

  • 1. What is SAS
  • 2. SAS Exposure:
    • History of SAS
    • SAS in Clincial Research
    • Introduction on Clincial Trials
    • Introduction of Clincial Data Management
    • SAS Programming and Fundamentals
    • Intro on SAP (Statistical Analysis Plan)
      • 3. Applying Data Management in SAS
      • SAS Fundamentals
      • Rows and Columns in SAS
      • Manage SAS Datasets
      • Access Raw data from external to SAS Datasets
      • Manage SAS Libraries and data within libraries
      • Subsetting datasets, Apply options, Apply functions, Statements, Processing Data
      • Import and export the data
      • Making changes on data according to the requirement
      • Maintaining Standards while applying Column names
      • Accessing and Exporting delimiter data
      • Understanding Errors, Warnings and rules and Syntax errors in SAS and Debug the programs
      • Applying Iterative and Non-Iterative Processing on Data
      • Applying Conditional Statements and related operators in SAS
      • Using Conditional Statements applying Iterative loops and non iterative loops
      • Applying Iterative loops like "While" and "Until"
      4. Managing Data
      • SET statement application
      • Using Management concepts like Merge, Append, Update, Modify
      • Merge concepts with logical operators
      5. SAS Procedures
      • Import
      • Export
      • Append
      • Copy
      • Sort
      • Format
      • Compare
      • Printto
      • All print procedure options
      6. Statistical Procedures
      • Means
      • Summary
      • Freq (Single & Multiple)
      • Univariate
      • TTest
      • Tabulate
      • Report
      • P-value
      • Graphical Reporting
      • Chart
      • Gchart
      • Plot
      • Gplot
      • SGPlot
      7. Advance Concepts
      • Introduction on SQL
      • Creating tables using SQL
      • Managing data in SQL
      • Access libraries and induvidual data within libraries
      • Multiple Joins in SQL
      • Applying SQL concepts to Base SAS
      • Introduction on Macros in SAS
      • Usage of Macros in Word processing
      • Concepts of Macros and its advantage in implementing in Base SAS
      • Manage Global and local macros
      • Macros positional and keyword parameters
      • Invoke and revoke a macro
      • Single and multiple macro variables
      • Accessing and assigning macros to procedures and datasteps in SAS