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Logiciel d’analyse et statistique

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Aperçu du programme

SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster. This instructor-led course provides students with the knowledge and skills to leverage SAS tool to analyze data about customers, suppliers, operations, performance and more.


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équipe MCIT


SAS Programming Essentials

  •  Introduction to SAS
  • SAS Programs
  • Accessing Data
  • Producing Detail Reports
  • Formatting Data Values
  • Reading SAS Data Sets
  • Reading Spreadsheet and Database Data
  • Reading Raw Data Files
  • Manipulating Data
  • Combining Data Sets
  • Creating Summary Reports

SAS Data Manipulation Techniques

  • Controlling Input and Output
  • Summarizing Data
  • Reading Raw Data Files
  • Data Transformations
  • Debugging Techniques
  • Processing Data Iteratively
  • Restructuring a Data Set
  • Combining SAS Data Sets
  • Creating and Maintaining Permanent Formats


Certificate of participation in ‘Statistical Analysis Software’ course.

Qui devrait suivre ce cours?

Working professionals who wish to gain expertise in SAS.



  • Session one
    08 juillet 2017
    26 05 17
  • Session two
    12 octobre 2017
    29 09 17
  • Session three
    08 février 2018
    31 01 18