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Course Outline

Introduction

SAS in Depth

  • SAS data sets.
  • SAS variables.
  • SAS libraries.
  • SAS code structure.

Preparing the Development Environment

  • Installing and configuring SAS Studio.
  • Installing and configuring WPS.

Data Management in SAS

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

Arrays and Functions

  • Recording new variables with loops.
  • Constructing new variables.
  • Using built-in SAS functions.
  • Combining raw data files.

Data Visualization

  • Creating a bar chart.
  • Creating a scatter plot.
  • Creating a pie graph.
  • Overlaying plots.

Statistical Analysis

  • Reporting data.
  • Using linear regressions.
  • Using multiple regressions.
  • Interpreting data.
  • Making predictions.

SAS SQL

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

SAS Index

  • Testing with data sets.
  • Using PROC.
  • Creating, updating, and applying an index.

SAS Macro

  • 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.

Audience

  • Data Analysts.
 14 Hours

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