SAS Base and Advanced Data Manager Boot Camp Training and Certification

SAS Base and Advanced Data Manager Boot Camp is an intensive training course specially designed for data warehouse architects. Top training institutes with extensive infrastructure to support online and classroom courses in SAS Base and Advanced Data Manager Boot Camp offer these training classes. The course is aimed at making the students expert in managing and accessing data, executing multi-faceted queries and analyzes. Training course curriculum is designed to meet the requirements for the specific certification exam. Special emphasis is placed on the modules of the SAS macro facility. Hands-on exercises are included to teach how to devise, write and fix macro systems. If you are someone who is responsible for collecting, cleansing and storing data for business analysts and decision makers for reporting and analysis, then SAS Base and Advanced Data Manager Boot Camp training course is ideal for you. As you complete the course, you’ll have a complete grasp on how to select the most suitable method for data situation. You will also get all the study materials, reference guides and support for attempting the Base SAS and Advance SAS Certifications. You can avail the 100% placement assistance to improve your prospects of getting a rewarding job in an MNC. SAS Base and Advanced Data Manager Boot Camp is a rigorous training & certification course delivered through online and classroom formats to enable students to clear their certification exam confidently and build great careers.

This training course teaches how to access and manage data and perform complex queries and analyses. You will learn how to compare manipulation techniques and resource cost benefits to help you choose the most appropriate techniques for their data situation. There is focus on the components of the SAS Macro facility and how to design, write and debug macro systems. You will understand how programs with and without macro code are processed. It also covers how to process SAS data using SQL.

The basic structures of SAS are – Program Editor, Explorer Window and Log Window

Basic syntax style in SAS is done to run program successfully, and it has the following basic elements:

• There should be a semi-colon at the end of every line
• A data statement that defines your data set
• Input statement
• There should be at least one space between each word or statement
• A run statement

The Data step creates an SAS dataset which carries the data along with a “data dictionary.” The data dictionary holds the information about the variables and their properties.

Numeric and Character

In SAS, the “where” statement does not perform automatic conversions in comparisons

For Data Set: Data set name/ debug Data set: Name/stmtchk

For Macros: Options: mprint mlogic symbolgen

Proc glm performs simple and multiple regression, analysis of variance (ANOVAL), analysis of covariance, multivariate analysis of variance and repeated measure analysis of variance.

• Character Informats : $INFORMATw
• Numeric Informats : INFORMAT w.d
• Date/Time Informats: INFORMAT w.

NODUP compares all the variables in our dataset while NODUPKEY compares just the BY variables

Input function converts character data values to numeric values. Put function converts numeric values to character values.