The entire SAS Data Analytics course ended today after learners marked 3 days of exclusive study in statistical analysis of data with SAS software.
This last part of the training required that one should at least have undertaken a course in statistics covering p-values, hypothesis testing, analysis of variance as well as regression. The learner should also have had working knowledge in the use of SAS programs, whose essentials were covered about a week ago at the initial start of the course.
Essentially, the whole course- as “SAS Statistics”- dealt with ANOVA, Regression, and Logistic regression applied in “The Ames Home Sales Data Set” scenario.
In the “Introduction to ANOVA, Regression, and Logistic Regression”, the trainees focused on t tests, ANOVA, and linear regression coupled with a brief introduction to logistic regression.
A more advanced treatment of ANOVA and regression occurred in subsequent materials, all provided provided by the SAS Institute’s Education Division.
And indeed, a more advanced treatment of logistic regression occurred in the “Categorical Data Analysis Using Logistic Regression” and the “Predictive Modeling Using Logistic Regression” courses.
Handling the mind-bending material was Mr. Tsepo Riba, an expert at SAS Institute who is based in South Africa.
About the Writer
Moses Omusolo is the Social Media Manager, C4DLab.