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SAS stands for Statistical Analysis Software which is platform independent and runs on any operating system. SAS earns its value by the concept of SAS programming which uses a sequence of operations on SAS datasets to achieve proper reports for data analysis. This course will gain you knowledge of SAS data modelling and to perform advanced data analysis using statistical techniques.
SAS 9.4 serves the world of business analytics. SAS fulfills the needs of data management software and services. SAS transforms data into insight which gives a new appearance for the business.
SAS performs data transformation and analysis using a high programming approach. SAS is unique has it holds finer control over data manipulation. The components in SAS customized for specific data analysis tasks and industries.
SAS enables many solutions for a various business domain like Data Governance, Big Data Analytics, Data Quality, Text Mining, Fraud Management, Health Science.
SAS Visual Analytics helps in producing a high performance for exploring a tremendous amount of data. Using the GUI interface, users can identify patterns and analyze massive volumes of data. The visual design interface allows creating reports and dashboard. The dashboard is viewable on a web page or a mobile device. SAS Analytic Server provides fast processing and data visualization.
SAS provides a platform with all functionality in one centrally managed suite of products that are designed to work together efficiently. The integration reduces the cost of administration, management, and deployment and serves as an advantage to meet the requirements of different users to provide multiple technologies.
SAS Platform includes SAS analytics and high-speed processing of large amounts of data. The reporting tools in SAS enables accurate, reliable, and fast results.
The intelligence storage options are optimized for analytical processing, enabling the reporting tools to retrieve huge volumes of data quickly.
Algorithms for functions in SAS analytics includes predictive and descriptive modeling, forecasting, optimization, simulation, and experimental design. You can implement these capabilities into reports and analyses so that your enterprise can benefit in the process of decision making with the accuracy and precision of high-end analytics.
SAS programming language is powerful. Using SAS, any number of analyses and reports can be programmed.
This chapter introduces you to SAS and explains the method of deploying, administering and overview of high performance, managing your data and its integration with visual analytics.
SAS, as the name implies, is an integrated program with software solutions that allows you to perform data entry, data retrieval, and data management, report writing and graphics design, statistical and mathematical analysis, business forecasting and decision support, project management and applications development
SAS components play a vital role as they help you work with the features of SAS. SAS Data Quality Server communicates with components in particular SAS offerings, such as the SAS Data Management offerings. SAS Data Quality Server is an essential element of the SAS Data Quality offerings
You will learn about the traditional output and output from Output Delivery System (ODS) in SAS. The traditional output can be in SAS data set, SAS log, report, external files or entries in the database. The output from ODS can be in a variety of forms like an HTML file, a PostScript file, an RTF file and an output data set
This chapter teaches you about the different ways to run SAS programs. The different process of running SAS programs differ in the speed, the amount of computer resources utilized and the amount of interaction with the program. In some instances, the method of running the SAS program determines the appearance of the output.
The basic building blocks of SAS programming is the Data Step processing. All the data sets used in SAS program analysis and reports are created using the Data Step processing. The first learning to create your SAS data sets requires a thorough understanding of the structure, components, and functions of the Data Step.
This lesson teaches you how to create SAS data set from raw data. The records need to be examined to identify the arrangement of data values. Different reading styles are supported and are available in the INPUT statement. SAS supports three basic styles namely list, column and formatted. Any of these styles can be used in the INPUT statement to convert the raw data into SAS data sets.
Basic programming in SAS includes all topics that range from performing arithmetic calculations, using arithmetic operators, using the SAS functions, comparing numeric variables using logic operators and storing numeric values efficiently when the disk space available is less.
SAS supports several methods for combining SAS data sets. Subsequent sections teach you how to use the methods
The SAS log is a very useful tool for analyzing your SAS session and programs. In this section, you will understand about the log in relation to output, the log structure, types of messages in the SAS log writing to the SAS log and suppressing information in the SAS log
The report provides complete information about every record that gets processed. This lesson teaches you about creating reports using the PRINT procedure. The PRINT procedure is very useful among other report writing tools to create a variety of reports.
Plotting the values allows you to examine the relationship between variables. Using the Plot procedure, you can view the display of relationship and patterns in the data.
This lesson teaches you the different ways you can run SAS programs. The best modes for running SAS and their applications for different jobs are present in this chapter. The default processing mode is the SAS windowing environment.
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