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Course Outline

Introduction

Deep Dive into SAS

  • SAS datasets
  • SAS variables
  • SAS libraries
  • Structure of SAS code

Setting Up the Development Environment

  • Installation and configuration of SAS Studio
  • Installation and configuration of WPS

Data Management in SAS

  • Importing data
  • Exporting data
  • Creating variables and calculations
  • Filtering observations
  • Implementing conditionals and loops
  • Merging datasets
  • Utilizing statements
  • Cleaning data

Arrays and Functions

  • Recording new variables via loops
  • Constructing new variables
  • Employing built-in SAS functions
  • Combining raw data files

Data Visualization

  • Creating bar charts
  • Creating scatter plots
  • Creating pie graphs
  • Overlaying plots

Statistical Analysis

  • Reporting data
  • Applying linear regressions
  • Applying multiple regressions
  • Interpreting data
  • Making predictions

SAS SQL

  • SAS SQL syntax
  • Utilizing clauses and statements
  • Working with columns and rows
  • Working with tables

SAS Indexing

  • Testing with datasets
  • Using PROC commands
  • Creating, updating, and applying an index

SAS Macros

  • Using macro variables
  • Using macro functions
  • Creating a Macro
  • Debugging and storing Macros

Predictive Modeling

  • Using linear regressions
  • Using multiple regressions
  • Evaluating data patterns
  • Using input variables
  • Working with PROC MI

Summary and Conclusion

Requirements

  • Familiarity with navigating folder structures

Target Audience

  • Data Analysts
 14 Hours

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  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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