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Logiciel d’analyse et statistique

Aperçu du programme |témoignage |cours |certificat |Qui devrait suivre ce cours? |FAQ |calendrier

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.

témoignage

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équipe MCIT

cours

Accessing Data Using SQL

  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.
  • Access Dictionary Tables using the SQL procedure.

Macro Processing

  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.
  • Understand the use of macro functions.
  • Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log.
  • Create data-driven programs using SAS Macro Language.

Advanced Programming Techniques

  • Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data.
  • Reduce computing resource requirements by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations.
  • Develop SAS programs which incorporate data step views and use the FCMP procedure.
  • Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics.
  • Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure.
  • Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.

certificat

Certificate of participation in ‘Statistical Analysis Software Advanced Programmer ‘ course.

Qui devrait suivre ce cours?

Working professionals who wish to gain expertise in SAS.

FAQ

calendrier

  • Session one
    25 octobre 2016
    07 10 16
    Apply
  • Session two
    07 janvier 2017
    30 12 16
    Apply
  • Session three
    08 juillet 2017
    26 05 17
    Apply