Description

SAS (Statistical Analysis System) allows you to perform statistical analyzes on large volumes of data and create personalized reports using its own language. This internship will teach you the concepts and functionalities of SAS Base, as well as how to manipulate and visualize data with this tool.

Who is this training for ?

For whom ?

Statisticians, DataMiner analysts, statistical study managers.

Prerequisites

Training objectives

Navigate the SAS work environment

Create and update the database for analysis

Program processing and procedures for statistical analyses

Personalize your analyzes by creating personalized libraries

Present graphically and format the data resulting from the analysis

Training program

• Introduction
  • Presentation of the SAS Base software and its functionalities.
  • The advantages and disadvantages.
  • Positioning in relation to the SAS offer.
  • Positioning in relation to market tools.
• Discovery of the software
  • The environment: the log, the editor, the explorer, the outputs.
  • How to launch a first command (F3) (data set => table creation)? Presentation and use of libraries (work, libname, create and assign.
  • ).
  • Tables in SAS.
  • Structure.
  • Description of tables and variables.
  • Usage.
  • The principle of SAS programming.
  • Data step and procedure step.
  • Help and feedback.
• The Data Stage: generation and manipulation of data
  • Data steps.
  • How to create variables? Instructions for handling variables.
  • Keeping, deleting, renaming, etc.
  • Functions of various types: mathematical, characters, logic, etc.
  • ).
  • Data step options.
  • The filters and iterative blocks.
  • Exercise: Exercises for applying the concepts of creating variables.
• Formats and dates
  • The manipulation and creation of formats.
  • The principle of dates.
  • Format.
  • Usage.
  • Functions relating to dates.
  • Use in various cases.
  • Exercise: Application exercises for creating and manipulating date formats and functions.
• Simple data generation, concatenation, and analyzes
  • Importing and exporting data.
  • Copying data.
  • Joins (merging and concatenation).
  • Simple statistical calculations, PROC MEANS.
  • Frequency analysis.
  • Other statistical indicators (correlation coefficients, confidence intervals, Student tests.
  • .
  • ) Exercise: Table mergers and import/export.
  • Simple statistical calculations.
  • Editing frequency tables .
  • Displaying results.
• Visualization and outputs
  • Generation of reports in different formats: RTF, PDF, HTML.
  • Creation of basic graphics: histogram, scatter plots, boxplot, etc.
  • Chart options.
  • Save a chart.
  • Exercise: Generating reports in various formats.
  • Creating charts.