SAS is a command-driven statistical software in use for statistical data analysis and visualization. SAS is Statistical Analysis Software. With SAS you can access qualitative techniques and processes to enhance employee productivity and profits in business. You can take SAS Online Training to learn statistical analysis for better productivity. With SAS, you can extract and categorize data, to identify and analyze data patterns. When you talk about its other usages, it allows you to perform advanced analysis, features of Business Intelligence, Predictive Analysis, and lastly data management to operate effectively. Moreover, in the competitive & changing business conditions you need to be flexible with varied features. However, SAS is an independent platform that suggests you can run SAS on any operating system either Linux or Windows.
How to work with SAS
To work effectively with SAS software, you need to follow these steps that are:
Access Data, Management Data, Analyze, Present
Let’s start with
- Access Data: With SAS you can access data in any desirable format you want. Also, you access data from anywhere on your system. Whether it is in a file on your system or the data is at a store in another database system. It can be anything from an oracle file, SAS database file, Raw Database file, or just a simple XLS /CSV file. Thus, this makes easier access to data.
- Manage Data: SAS comes with great data management capabilities. Further, you can subset data based on certain conditions. Like from creating variables, to cleaning and validating data. Furthermore, other tools allow you to perform the same task. SAS hosts well-defined libraries and processes that make the programming process easy. Also, creating variable or subset data is just one step process. Thus, this saves you time from writing complex algorithms with just a single line of code.
- Analyze: You can perform different analyses with SAS like; it checks the frequency of Mean calculation, helps you with Regression and Forecasting, and also with Decision Trees. However, it is the best tool for accurate forecasting.
- Present: With correct visualization, it becomes effortless for the audience to relate to it. Also, it becomes essential that your tool presents data suitably. That’s what SAS does for you. It also hosts excellent presentation capabilities. It allows you to;
# List reports
# Summary reports
# Graph reports
# Print report
SAS Programming Process
SAS Program consists of three essential steps:
DATA Step: In the data step you load the required data set into SAS memory and find the correct variables of the data set. It also captures the records. It also performs specific analyses or functions to produce results and reports. Data Steps are useful for;
- Enter data into SAS data sets
- Compute Values
- Check or correct data
- Produce new data sets
PROC Step: It performs critical analyses or functions to generate results and reports.
The OUTPUT Step: You can display the data from the data with conditional output statements. Every SAS program follows all the above mentions steps to read the input data, analyze the data and give the output of the analysis.
Benefits of SAS
- SAS has an easy syntax, that you can learn without any type of programming knowledge.
- SAS can handle a large database with ease
- SAS is a comprehensible language that is easy to debug.
- With its “log” window, you clearly show the error that helps you to debug your code with ease.
- SAS helps you thoroughly test and analyze the algorithm
- SAS is completely secured so you can’t extract without a license in the office
- Makes statistical computing easier for the non-programming users
- Handles large-size databases effectively.
SAS is majorly used for industrial and commercial objectives. Thus, it may not be the best convenient option for beginners or individual data analysts to learn. Unless their initial goal is to start working in an industrial setting. Also, in order to gain new skills and be more competitive in their present business SAS Training in Delhi will help you in learning the important. Whereas, it is not for industrial use. So, it is free to anybody who wants to study SAS computing.