SAS® Programming for R users
This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation
Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
Learn how to
- read and write SAS programs
- import various forms of data
- subset and merge data tables
- do iterative processing and simulate new data
- create new variables and functions
- create and enhance plots of all types
- apply descriptive and inferential procedures including regression, logistic regression, analysis of variance, stepwise model selection, and mixed models
- conduct matrix algebra and statistical simulations in the interactive matrix language (IML)
- call R from SAS to use as a complementary resource.
Who should attend
Experienced R users who want to augment their programming skills with SAS
Name | SAS® PROGRAMMING FOR R USERS |
Language | English |
Duration | 14:00 hours |
Sector | IT-ITES |
Price (INR) | FREE |
Availablity | Available full time |
Certification Availability from Knowledge Partner | Not Available |
Certification Availability from eSkillIndia | Not Available |
Assessment Availability from Knowledge Partner | Available |
Pre-Qualification | Any |
SAS Institute
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
SAS is a business user software and is used in the entire industry, be it IT, Retail, Pharma, Banking and Finance, Retail, Manufacturing, etc. Besides it’s user-friendly software and easy to pick-up, the only pre-requisite is knowledge of MS-Office. Only for the Analytics course, one needs to know basic statistics. You could be from any back ground; no prior IT experience is required.
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