Statistical Analysis System (SAS) Skill Overview

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    Category: Technical > Business intelligence and data analysis

Description

SAS, or Statistical Analysis System, is a software suite used for advanced analytics, business intelligence, data management, and predictive analytics. It provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS language. SAS skills range from understanding basic software functions and syntax to writing complex programs and performing intricate statistical analyses. As proficiency increases, users can automate tasks, optimize code performance, handle large datasets, and integrate SAS with other technologies. Mastery of SAS can lead to the development and implementation of sophisticated data solutions, making it a valuable skill in various industries.

Expected Behaviors

  • Fundamental Awareness

    At the fundamental awareness level, individuals are expected to have a basic understanding of SAS software and its syntax. They should be familiar with simple data manipulation techniques and basic statistical procedures. However, their knowledge is mostly theoretical and they may need guidance to apply it in practice.

  • Novice

    Novices can write simple SAS programs and import/export raw data files. They can perform basic data cleaning and validation tasks, and use SAS functions. While they can apply their skills to solve simple problems, they still require supervision for more complex tasks.

  • Intermediate

    Intermediate users are proficient in using PROC SQL for data manipulation and can create and manipulate SAS datasets. They understand advanced data manipulation techniques and SAS macros, and can perform complex statistical analyses. They can work independently on most tasks but may need assistance with highly complex problems.

  • Advanced

    Advanced users can use SAS/GRAPH for data visualization and automate tasks using SAS macros. They understand advanced statistical procedures and can optimize SAS code for performance. They can handle large datasets and work independently on complex tasks, providing solutions that are efficient and effective.

  • Expert

    Experts can use SAS Enterprise Guide and SAS Studio proficiently. They can develop and implement complex SAS solutions, and understand advanced SAS programming techniques. They can integrate SAS with other technologies and troubleshoot and resolve complex SAS issues. They are capable of working independently on any task, regardless of complexity.

Micro Skills

Understanding of the SAS Explorer window

Proficiency in using the SAS Editor window

Familiarity with the SAS Results window

Understanding of SAS libraries

Familiarity with SAS datasets

Proficiency in using SAS procedures

Proficiency in using the SAS toolbar

Familiarity with SAS menus

Knowledge of DATA and PROC steps

Familiarity with INPUT and SET statements

Proficiency in using assignment statements

Knowledge of SAS statements

Understanding of SAS operators

Knowledge of SAS data types

Understanding of SAS variable naming rules

Understanding of the PDV (Program Data Vector)

Ability to use the OUTPUT statement

Understanding of conditional processing

Ability to use loops

Understanding of PROC PRINT

Ability to use PROC SORT

Understanding of PROC MEANS

Ability to use PROC FREQ

Ability to create new variables

Understanding of variable transformations

Ability to modify existing variables

Understanding of how to handle missing values

Knowledge of SELECT statement

Understanding of JOIN operations

Ability to perform subqueries

Understanding of how to use SQL functions

Knowledge of arithmetic operations

Understanding of conditional transformations

Knowledge of handling missing data

Knowledge of MERGE statement

Understanding of SET statement

Knowledge of macro variables and macro functions

Ability to create and call macros

Understanding of how to use macro loops

Understanding of regression analysis

Knowledge of ANOVA and other variance analysis techniques

Ability to perform multivariate analysis

Understanding of survival analysis

Knowledge of basic graph types

Knowledge of advanced graph types

Creating macros

Calling macros

Regression analysis

ANOVA

Efficient data step coding

Efficient PROC SQL coding

Data step processing

Familiarity with the layout and components

Ability to navigate through the interface

Understanding of the project creation process

Ability to manage projects

Understanding of the task concept

Ability to use wizards

Understanding of the code creation process

Ability to execute code

Ability to use snippets

Tech Experts

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We pride ourselves on utilizing a team of seasoned experts who diligently curate roles, skills, and learning paths by harnessing the power of artificial intelligence and conducting extensive research. Our cutting-edge approach ensures that we not only identify the most relevant opportunities for growth and development but also tailor them to the unique needs and aspirations of each individual. This synergy between human expertise and advanced technology allows us to deliver an exceptional, personalized experience that empowers everybody to thrive in their professional journeys.
  • Expert
    4 years work experience
  • Achievement Ownership
    Yes
  • Micro-skills
    61
  • Roles requiring skill
    3
  • Customizable
    Yes
  • Last Update
    Tue Nov 07 2023
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