SAS Base Programming Practical Tests
Have SAS Base Programming skills
Statistical Analysis System
SAS (previously “Statistical Analysis System“) is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics.
SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004. A social media analytics product was added in 2010.
SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language.
SAS programs have DATA steps, which retrieve and manipulate data, and PROC steps, which analyze the data. Each step consists of a series of statements.
The DATA step has executable statements that result in the software taking an action, and declarative statements that provide instructions to read a data set or alter the data’s appearance. The DATA step has two phases: compilation and execution. In the compilation phase, declarative statements are processed and syntax errors are identified. Afterwards, the execution phase processes each executable statement sequentially. Data sets are organized into tables with rows called “observations” and columns called “variables”. Additionally, each piece of data has a descriptor and a value.
The PROC step consists of PROC statements that call upon named procedures. Procedures perform analysis and reporting on data sets to produce statistics, analyses, and graphics. There are more than 300 named procedures and each one contains a substantial body of programming and statistical work. PROC statements can also display results, sort data or perform other operations.
Use SQL commands to filter, sort, & summarize data; manipulate strings, & numerical data. Learn to apply foundational SQL skills to analyze data and solve real business problems. Learn the Latest Skills. Get Ready for a Career.
Who this course is for:
- data analyst