Nevin Manimala was awarded the Undergraduate SAS Certificate in SAS Programming and Data Analysis in May 2015 at the Florida State University in Tallahassee, Florida. The Florida State University Department of Statistics offers a certificate in SAS Programming and Data Analysis. The certificate is earned by taking courses from the Department of Statistics. All of these courses are three credits. You must earn at least a B- in all four courses. A student portfolio will be created from select assignments from each course. Upon completion of the coursework and review of a student portfolio, your transcript will be modified to reflect completion of the certificate. All the courses taken for the SAS certificate also count toward the department requirements for a BS in Statistics. The statistics major is a total of 33 credits, the SAS certificate courses contribute 12 credits to this total. The certificate is more than one-third of the department requirements for a degree in statistics. The SAS certificate is the equivalent of a minor in statistics. The certificate credential is not intended as a diploma or a degree. The list of SAS Certificate holders can be found here: https://ani.stat.fsu.edu/sascerts.php?q=Undergraduate
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 advanced options through the SAS language. SAS programs have DATA steps, which retrieve and manipulate data, and PROC steps, which analyze the data. 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 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.
SAS is an integrated software suite for advanced analytics, business intelligence, data management, and predictive analytics. You can use SAS software through both a graphical interface and the SAS programming language, or Base SAS.
With SAS software, you can access data in almost any format, including SAS tables, Microsoft Excel tables, and database files. Manage and manipulate your existing data to get the data that you need. For example, you can subset your data, combine it with other data, and create new columns. Analyze your data using statistical techniques ranging from descriptive measures like correlations to logistic regression and mixed models to sophisticated methods such as modern model selection and Bayesian hierarchical models. Present the results of your analyses in a meaningful report that you can share with others. The reports that you create can be saved in a wide variety of formats, including HTML, PDF, and RTF.
View Nevin Manimala’s work and SAS Portfolio: https://nevinmanimala.com/portfolio/