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Online Programming| Online Training| Real Time Projects | Certifications |Online Classes| Corporate Training |Jobs| CONTACT US: STANSYS SOFTWARE SOLUTIONS.

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Presentation on theme: "Online Programming| Online Training| Real Time Projects | Certifications |Online Classes| Corporate Training |Jobs| CONTACT US: STANSYS SOFTWARE SOLUTIONS."— Presentation transcript:

1 Online Programming| Online Training| Real Time Projects | Certifications |Online Classes| Corporate Training |Jobs| CONTACT US: STANSYS SOFTWARE SOLUTIONS INDIA +91-9542195422 sas@stansys.co.in www.stansys.co.in

2 STANSYS: Trainers are also available at lab to take care of each student along with lab assistants. Makes the student to do exercises and read interview questions every day after class Revision classes are held on every weekend. 24/7 Lab facility with Lab Assistants & Faculty. Each student is provided with a separate PC at lab. 2+1 month training (2months SAS Technology and 1 month PROJECT) will make the student as SAS Perfectionist Providing 6Months Internship with placements

3 SAS Online Training Topics: SAS 9.2 & 9.3 SAS / DI 4.2 SAS /BI 9.2 SAS / ANALYTICS SAS / FORECASTING SAS / ADMIN

4 What is SAS? SAS is a statistical software package that allows the user to manipulate and analyze data in many different ways. Because of its capabilities, this software package is used in many disciplines, including the medical sciences, biological sciences, and social sciences. Knowing the SAS programming language will likely not only help you in your current class or research, but also in obtaining a job

5 SAS Base : 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 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

6 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

7 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

8 SAS Advanced Programming : SQL: 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

9  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 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

10 CONTACT US: STANSYS SOFTWARE SOLUTION #7-1-621/113(67/3RT), Near: S.R.Nagar Community Hall, Between Apollo & Nagarjuna High School, S.R.Nagar, Hyd-38 Ph: 7671076710|9542195422 www.stansys.co.in|sas@stansys.co.in


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