SAS is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
This course focusses on teaching SAS software features in depth. You learn data entry, retrieval, management, mining and report writing using various SAS features.
- 40 hours of online instuctor led training or classroom training
- Taught by Industry experts
- More practical then theoretical. There would be lots of hands on practice sessions
- Real world case studies
This course will make you comfortable with reviewing and working with data using SAS. You will be able to get insightful information from data and use it to make better decisions. SAS is the most popular business analytics software, so the course is likely push you further in your career.
Online instructor led sessions and Classroom training
Duration: 10 weeks
Duration of class: 2 hours
Days: Saturdays & Sundays
INR 32,500 inclusive of taxes
1. Introduction to SAS & SAS Environment
2. Reading data using Datalines and importing and exporting datasets
3. Use FORMATTED, LIST and COLUMN input to read raw data files
4. Use INFILE statement options to control processing when reading raw data files
5. Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls
6. Combine SAS data sets using the DATA step
7. Creating Data Structures
8. Create temporary and permanent SAS data sets
9. Create and manipulate SAS date values
10. Use DATA Step statements to export data to standard and comma delimited raw data files
11. Control which observations and variables in a SAS data set are processed and output
12. Managing Data
13. Investigate SAS data libraries using base SAS utility procedures
14. Sort observations in a SAS data set
15. Conditionally execute SAS statements
16. Use assignment statements in the DATA step
17. Modify variable attributes using options and statements in the DATA step
18. Accumulate sub-totals and totals using DATA step statements
19. Use SAS functions to manipulate character data, numeric data, and SAS date values
20. Use SAS functions to convert character data to numeric and vice versa
21. Process data using DO LOOPS
22. Process data using SAS arrays
23. Generating Reports
24. Generate list reports using the PRINT and REPORT procedures
25. Generate summary reports and frequency tables using base SAS procedures
26. Enhance reports through the use of labels, SAS formats, user-defined formats, titles, footnotes and SAS System reporting options
27. Generate HTML reports using ODS statements
28. Handling Errors
29. Identify and resolve programming logic errors
30. Recognize and correct syntax errors
31. Examine and resolve data errors
* SAS Consultant
* Analytics Consultant
* SAS Analytics
* Data Analyst
* Business Analyst
* Business Intelligence Analyst
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