SAS is diverse enough to read data files created by other statistical tools and software like SPSS, Excel, and Minitab. If you are looking to make a career in data-driven decision-making, SAS is one of the hottest skills in the market. There are multiple reasons why one should learn SAS. This prior understanding saves you the time that you would otherwise spend learning the math behind the technology. Knowledge of SQL and Decision Trees will help you focus more on learning the specifics of the software. This is so because SAS utilizes a lot of theoretical data processing techniques. You do not need to be an expert in data analysis to understand SAS, but having a preliminary understanding of the concept will help you easily get started. To learn SAS, you must have a basic understanding of how data processing works. As you explore more about SAS, you’ll become aware of more things you can use to help speed up your learning process. These are only a few of the many things that this technology is built around. Clustering refers to finding similarities between groups of data, after which segmentation is used to segregate the groups altogether Clustering and segmentation are processes used to group similar data to provide better processing metrics. They are applied to huge dumps of data to forecast the best possible decisions for a business. Decision trees help in making predictive decisions based on records of a certain event. This is again a mathematical concept and is used right after carrying out descriptive analysis to draw insights on the available data. Inferential statistics operate on the samples of data summarized by descriptive statistics to draw useful insights and make predictions. This is a mathematical concept and is largely used in the sampling and representation of data. Descriptive Statistics refers to a set of brief coefficients that can easily summarize a data set. With SQL, organizing and searching through your data is as easy as running a single command on the terminal. SQL helps in querying and manipulating large collections of data easily. SQL is a querying language for tabular data. It is the foundation for further advanced topics in SAS. Base SAS is a fourth-gen programming language that is used for data access, transformation, analysis, and reporting. Some of the concepts that you will need to go through in your journey of learning SAS are: SAS is a collection of tools that aims to solve the age-long problem of expensive data analysis. This provides very fine control over data manipulation and analysis which is its primary feature. Like other Business Intelligence tools, SAS provides powerful support to programmatically manipulate and analyze data, apart from the conventional graphical interface. SAS stands for Statistical Analysis Software. This includes advanced operations like predictive analysis and criminal investigation. Pronounced as “SaaS”, the suite helps in analyzing and drawing insights on business data for a wide number of applications. What You Need to Know About SASĪccording to the books, SAS is a command-driven statistical software suite used for data analysis and visualization.
In this guide, we’re going to talk about how to learn SAS and what resources you can use to master it. If you need to carry out advanced analytics like business intelligence predictive analysis, the software is just the tool for you. SAS is a technology that is used to carry out analysis of large amounts of data easily. Under data analysis, organizations can use qualitative techniques and processes to enhance productivity and profits. Statistical data analysis is a complex field that reaps big benefits for businesses.