This Course is designed for students at the Intermediate level.
This Course has been rated by CoListy with a score based on our internal evaluation metrics.
This Course provides content in Visual format.
This Course awards a Badge upon successful completion of all learning tasks.
For experienced R users looking to expand their programming capabilities, this course offers a comprehensive guide to integrating R skills into the SAS environment. Designed with a focus on programming rather than statistical theory, participants will gain hands-on experience in advanced data manipulation, iterative processing, statistical modeling, and enhanced plotting using SAS tools.
The course emphasizes foundational skills such as reading and writing SAS programs, importing and merging various data types, and creating custom functions. Participants will also explore statistical procedures like regression, logistic regression, ANOVA, stepwise model selection, and mixed models, enabling them to tackle diverse analytical challenges. The course extends to the powerful Interactive Matrix Language (IML), allowing users to conduct matrix algebra and statistical simulations with efficiency.
A unique feature of this course is its focus on bridging R and SAS. Participants will learn to call R from SAS using the IML, Base SAS Java API, and SAS Enterprise Miner. This integration provides a seamless way to leverage the best of both programming environments, making it a must-have skill for data professionals who work across platforms.
This course is ideal for analysts, statisticians, and data scientists with a strong background in R, looking to augment their skills with SAS tools for enhanced productivity and analysis. Prerequisites include experience in R programming, knowledge of statistical modeling, and familiarity with matrix algebra and simulation techniques. By the end of the course, participants will be adept at navigating SAS tools while continuing to use R as a complementary resource.
Expand your analytics toolkit by mastering SAS alongside your existing R expertise. Gain the versatility to handle complex data challenges across industries and platforms.
