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SAS:Statistical Analysis System (Data Analysis) Training

Vendor: SAS:
Overview:

This course is designed for the SAS users who are seeking for SAS programmer/data analyst or relevant IT position in health and financial institutes. It covers both Fundamental of SAS Programming and SAS Advanced Programming Topics : SAS fundamental concepts, accessing data, creating data, managing data, combining data, producing reports, data cleaning techniques, common statistical procedures using SAS system, sas programming, introduction to SQL and Macros, Inner Join, Outer Join, correlation, regression analysis, statistical modeling, GLM, hypothesis and significant tests.

Course contents:

    Introduce SAS Work Space
  • Explorer
  • Results
  • Program Editor or Editor
  • Log and Output windows.
    Data Management
  • Create SAS Library
  • How to create SAS Database
  • Use operators to evaluate data values
  • Use functions to create and recode data values
  • Create SAS-Subset
  • Perform conditional processing
  • Merge a wide range of data sources
  • Create, retrieve, and update database information.
  • Reading data from Text and Excel file by using simple program
  • Combining multiple data files
  • Sorting data table
  • Importing data
  • Exporting data
  • Format table and columns
  • Accessing Observations
  • Combining Data Horizontally
  • Combining Data Vertically
  • BY-Group Processing and Sorting
  • Inner Join
  • Outer Join
    • Left join
    • Right join
    • Full join
  • Graphs
  • Bar charts
  • Line charts
  • Pie chars
  • Histograms
  • Scatter plots
  • Data Analysis
  • Produce tables
  • Frequency counts
  • Descriptive Statistics
  • Correlations Analysis
  • Factor Analysis
  • Dependent Variables
  • Independent Variables
  • Cross-tabulation tables
  • Compute a variety of descriptive statistics, including the mean, sum, variance, standard deviation and more
  • Compute correlations and other measures of association, as well as multi-way cross-tabulations
  • Simple programming
  • Generating reports
  • Statistical Modeling
    • Regression Modeling
    • GLM Modeling
    • Predictive Modeling
    Statistical Significant Test
    • Chi-Square Test
    • T-Test
    • F-Test
    SAS Macros for Automation
      • Creating macro variable
      • Creating Macros
      • Execute Macros
      • Using Macros in programs
    • Interpretation of analytical results
    Lab Exercises :
  • Health Related Data: Causes of Death Analysis for appoximately 6000 children under five years of age
  • Analyze Breast Cancer Survival data of approximately 1200 records
  • Human Resources Data: Analyze Employee database approx.700 cases
  • Marketing Data: MDB2012-13 campaign database sample 40000
  • Does Diet Make a Difference? A physician is evaluating a new diet for her patients with a family history of heart disease. To test the effectiveness of this diet, 16 patients are placed on the diet for 6 months. Their weights and triglyceride levels are measured before and after the study, and the physician wants to know if either set of measurements has changed.
  • Credit Card Promotion : A department store wants to evaluate a recent credit card promotion. To this end, 500 cardholders were randomly selected. Half received an ad promoting a reduced interest rate on purchases made over the next three months, and half received a standard seasonal ad.
Benefits:

End of the course students will be ready for International certificate for SAS programming, able to manage and analyze statistical data using sas coding.

SCHEDULE

Please contact OptionTrain (416) 486-6555 E-mail: info@optiontrain.com