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Statistical analysis system real time online training offered by maxmunus - Chandigarh
Tuesday, 15 November, 2016Item details
City:
Chandigarh
Offer type:
Offer
Item description
Prerequisite
knowledge in file and variable concepts
Access data files on your operating system
Understand programming logic concepts such as IF/THEN
As the most complete software for all the needs in data manipulation and data analysis in every aspect, SAS is used as data processing tool by many companies, especially large corporations, where huge amount of data is analyzed to drive the business, such as banks, insurance companies, pharmaceutical companies, even high-tech/Web companies. Demanding of professionals with proficiency of SAS is constantly high in the job market.
Course content
SAS Programming
SAS Base
Use FORMATTED, LIST and COLUMN input to read raw data 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
Combine SAS data sets using the DATA step
Creating Data Structures
Create temporary and permanent SAS data sets
Create and manipulate SAS date values
Use DATA Step statements to export data to standard and comma delimited raw data files
Control which observations and variables in a SAS data set are processed and output
Managing Data
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
Generating Reports
Generate list reports using the PRINT and REPORT procedures
Generate summary reports and frequency tables using base SAS procedures
Enhance reports through the use of labels, SAS formats, user-defined formats, titles, footnotes and SAS System reporting options
Generate HTML reports using ODS statements
Handling Errors
Identify and resolve programming logic errors
Recognize and correct syntax errors
Examine and resolve data errors
SAS Advanced Programming
Accessing Data Using SQL
Generate detail reports by working with a single table or joining tables using PROC SQL and the appropriate options
Generate summary reports by working with a single table or joining tables using PROC SQL and the appropriate options
Construct subqueries within a PROC SQL step
Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques
Access Dictionary Tables using the SQL procedure
Demonstrate advanced PROC SQL skills by creating and updating tables, updating data values, working with indexes using the macro interface/creating macro variables with SQL, defining integrity constraints, SQL views and SET operators
Macro Processing
Creating and using 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
Recognize various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log
Advanced Programming Techniques
Demonstrate advanced data set processing techniques such as updating master data sets, transposing data, combining/merging data, sampling data using generation data sets, integrity constraints and audit trails
Reduce the space required to store SAS data sets and numeric variables within SAS data sets by using compression techniques, length statements or DATA step views
Develop efficient programs by using advanced programming techniques such as permanent formats and array processing
Use SAS System options and SAS data set options for controlling memory usage
Control the processing of variables and observations in the DATA step
Create sorted or indexed data in order to avoid unnecessary sorts, eliminate duplicate data and to provide more efficient data access and retrieval
Use PROC DATASETS to demonstrate advanced programming skills (e.g. renaming columns, displaying metadata, creating indexes, creating integrity constraints, creating audit trails)
For more details kindly feel free contact with us.
Name – Avishek Priyadarshi
Email : avishek@maxmunus.com
Phone : +91-8553177744
Skype Id: avishek_2