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The document provides a comprehensive overview of SAS, focusing on date handling, functions, and data manipulation techniques using examples. It explains how to read, format, and perform calculations
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Open the Introduction to SAS® document.
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Read through the overview to understand the objectives of the course.
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Complete the personal information section with your name, email, and any other required details.
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Fill out the prior experience section to indicate your familiarity with SAS or other programming languages.
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Who needs Introduction to SAS®?

01
Individuals interested in learning data analysis using SAS software.
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Beginners who have little to no experience with statistical programming.
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Professionals looking to enhance their analytics skills for career advancement.
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Students pursuing a career in data science or related fields.
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Anyone involved in industries that rely on data analytics for decision-making.
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People Also Ask about

SAS programs are comprised of two distinct steps: data steps and proc steps. Data steps are written by you, while procedures are pre-written programs that are built-in. In general, Data steps are used to read, modify and create data files and always begin with a “DATA” statement.
You can use and learn SAS on your own via the SAS University Edition, which allows you to use SAS for free. You don't have to pay a dime.
SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, and predictive analytics.
Minimum System Requirements: Operating Systems (O/S)SPSS 26 Windows Windows 10 (32-bit or 64-bit versions), and Windows 7, 8 & 8.1 (32-bit or 64-bit versions) Mac OS X Yosemite 10.10, El Capitan 10.11, macOS High Sierra 10.13, Mojave 10.14, & Sierra 10.121 more row
SAS processing is the way that the SAS language reads and transforms input data and generates the kind of output that you request. The DATA step and the procedure (PROC) step are the two steps in the SAS language.
To its credit, SAS is fairly easy to learn and has extensive documentation and examples, and has adapted somewhat to distributed and cloud computing and newer algorithms.
There are two main components to most SAS programs - the data step(s) and the procedure step(s). The data step reads data from external sources, manipulates and combines it with other data set and prints reports.
You can use and learn SAS on your own via the SAS University Edition, which allows you to use SAS for free. You don't have to pay a dime.

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Introduction to SAS® is a foundational course or guide that introduces users to the SAS software environment, focusing on data manipulation, statistical analysis, and reporting.
Individuals or organizations that are utilizing SAS software for data analysis or reporting purposes and need to understand its functionalities are required to engage with the Introduction to SAS®.
To fill out Introduction to SAS®, users typically follow a structured learning path that includes completing tutorials, exercises, and assessments to familiarize themselves with the software's features and functionalities.
The purpose of Introduction to SAS® is to equip users with the necessary skills to effectively utilize SAS software for data analysis, thereby enhancing their analytical capabilities and decision-making.
Information that must be reported on Introduction to SAS® includes details about data sets, analysis results, statistical methods used, and any conclusions drawn from the SAS analysis.
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