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    Course Details

    SAS is a software suite that alter, manage and retrieve data from a variety of sources and can perform statistical analysis. It provides a graphical point-and-click user interface for non-technical users and more advanced options by the SAS programming language. A PROC step analyses the data consisting of PROC statements called as procedures. Procedures perform analysis and reporting on data sets to produce statistics, analyses and graphics. The data step has executable statements which results in the software taking an action and declarative statements providing instructions to read or alter the data appearance. SAS training enhances capabilities in advanced analysis and predictive modelling.

    SAS Training Overview

    Our training institute delivers the in-depth knowledge on application programming, built-in functions and debugging tools. The sessions are collaborative with practical demonstration on creating sequential output and permanent SAS datasets by 13+ years experienced IT Professionals.

    Base SAS Training Curriculum

    Before starting with SAS, learn What is DataWarehouse, OLAP and ETL concepts.

    DATA WAREHOUSING Concepts
    What is ETL and ETL Concepts
    What is OLAP

    Base SAS provides a scalable, integrated software environment specially designed for data access, transformation and reporting.

    What is SAS
    History of SAS
    Modules available in SAS

    Accessing data that is stored in a SAS data set is a fundamental operation in SAS. In this module, we will provide, How to access data from existing dataset and also how to use various components to process raw data file.

    Accessing data from FLAT files
    Use INFILE statement options to control processing when reading raw data files
    Use various components of an INPUT statement to process raw data files including column and line pointer controls and trailing @ controls
    Accessing data from a Database
    Access an Excel workbook
    Accessing data from existing SAS dataset

    You supply SAS with specific information for reading raw data so that you can create a SAS data set from the raw data and you can use the data set for further processing, data analysis, or report writing.

    Create temporary and permanent SAS data sets
    Combining SAS Data Sets
    Understanding How Data Sets Are Read
    Export data to create standard and comma-delimited raw data files
    Control which observations and variables in a SAS data set are processed and output.

    Learn, different types of SAS Functions, How to convert SAS function Character data to numeric, sorting techinques in data sets and also how to investigate on SAS data libraries..

    Investigate SAS data libraries using base SAS utility procedures
    Sort observations in a SAS data set, Conditionally execute SAS statements
    Use assignment statements in the DATA step
    Modify variable attributes using options and statements in the DATA step
    Accumulate sub-totals and totals using DATA step statements
    Use SAS functions to manipulate character data, numeric data, and SAS date values
    Use SAS functions to convert character data to numeric and vice versa
    Process data using DO LOOPS and Process data using SAS arrays
    Validate and clean data.

    This module focus on how to Generate reports and listing up reports using PRINT procedure.,

    Generate list reports using the PRINT procedure
    Generate summary reports and frequency tables using base SAS procedures
    Enhance reports through the use of user-defined formats, titles, footnotes and SAS System reporting
    Generate reports using ODS statements

    Error handling refers to the anticipation, detection, and resolution of programming, application, and communications errors. In this module, you will learn to identify, resolve and correct the errors..

    Identify and resolve programming logic errors
    Recognize and correct syntax errors
    Examine and resolve data errors.

    Using SQL, SAS users can create SAS datasets from, and manage the data contained in, relational databases. In this module, will let you know how to join tables, Differentiate between solving a problem using SQL procedure and traditional SAS programming techinques.

    Generate detail reports by working with a single table, joining tables or using set operators in the SQL procedure
    Generate summary reports by working with a single table, joining tables or using set operators in the SQL procedure
    Construct sub-queries and in-line views within an SQL procedure step
    Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques
    Access Dictionary Tables using the SQL procedure.

    This section describes macro processing and shows the typical pattern that SAS follows to process a program containing macro elements. In this module, we will provide you, How to create data driven programs, Calling macros using SAS Macro Language, creating an user defined variables and uses of different types of macros functions.

    Create and use user-defined and automatic macro variables within the SAS Macro Language
    Automate programs by defining and calling macros using the SAS Macro Language
    Understand the use of macro functions
    Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log
    Create data-driven programs using SAS Macro Language.

    This module is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.

    Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data.
    Reduce I/O by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations.
    Reduce programming time by developing reusable SAS programs which incorporate data step views, DATA steps that write SAS programs, and the FCMP procedure.
    Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics.
    Determine the resources used by the SORT procedure and avoid unnecessary sorts by using appropriate indexes, data set options, BY statement options, and the CLASS statement.
    Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure.
    Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.

    Advanced SAS Training Curriculum

    This module trains you about how to access data from existing SAS dataset, Use of INFILE Statement, Various components of an INPUT statement, How trailing works to access data from database and many more..

    Accessing data from FLAT files, Use INFILE statement options to control processing when reading raw data files, Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls. Accessing data from a Database, Access an Excel workbook, Accessing data from existing SAS dataset

    You supply SAS with specific information for reading raw data so that you can create a SAS data set from the raw data and you can use the data set for further processing, data analysis, or report writing.

    Create temporary and permanent SAS data sets
    Combining SAS Data Sets
    Understanding How Data Sets Are Read
    Export data to create standard and comma-delimited raw data files
    Control which observations and variables in a SAS data set are processed and output.

    Learn, different types of SAS Functions, How to convert SAS function Character data to numeric, sorting techinques in data sets and also how to investigate on SAS data libraries..

    Investigate SAS data libraries using base SAS utility procedures
    Sort observations in a SAS data set, Conditionally execute SAS statements
    Use assignment statements in the DATA step, Modify variable attributes using options and statements in the DATA step
    Accumulate sub-totals and totals using DATA step statements
    Use SAS functions to manipulate character data, numeric data, and SAS date values
    Use SAS functions to convert character data to numeric and vice versa
    Process data using DO LOOPS, Process data using SAS arrays
    Validate and clean data.

    This module focus on how to Generate reports and listing up reports using PRINT procedure.,

    Generate list reports using the PRINT procedure
    Generate summary reports and frequency tables using base SAS procedures
    Enhance reports through the use of user-defined formats and titles
    Footnotes and SAS System reporting
    Generate reports using ODS statements.

    Error handling refers to the anticipation, detection, and resolution of programming, application, and communications errors. In this module, you will learn to identify, resolve and correct the errors..

    Identify and resolve programming logic errors
    Recognize and correct syntax errors
    Examine and resolve data errors.

    Using SQL, SAS users can create SAS datasets from, and manage the data contained in, relational databases. In this module will let you know how to join tables, Differentiate between solving a problem using SQL procedure and traditional SAS programming techinques..

    Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure
    Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure
    Construct sub-queries and in-line views within an SQL procedure step
    Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques
    Access Dictionary Tables using the SQL procedure.

    This section describes macro processing and shows the typical pattern that SAS follows to process a program containing macro elements. In this module, we will provide you, How to create data driven programs, Calling macros using SAS Macro Language, creating an user defined variables and uses of different types of macro functions.

    Create and use user-defined and automatic macro variables within the SAS Macro Language
    Automate programs by defining and calling macros using the SAS Macro Language
    Understand the use of macro functions
    Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log
    Create data-driven programs using SAS Macro Language

    This module is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.

    Faqs

    Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

    We record each LIVE class session you undergo through and we will share the recordings of each session/class.

    Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

    The Training itself is Real-time Project Oriented.

    Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

    There are some Group discounts available if the participants are more than 2.

    As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

    Minneapolis, Melbourne, Jacksonville, Davidson, Murfreesboro, Auckland, Carlsbad,  San Marcos, Tacoma, Bellevue, Garland, Raleigh-Cary, Fort Lauderdale, Miami, Toronto, Wellington, Gilbert, Tempe, Alexandria, Chandler, Scottsdale, Peoria, Honolulu, Raleigh, Nashville, Plano, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Brisbane, Perth etc…

    • SAS Training Washington, DC
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