Analytics on SAS

About this Course

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on SAS Studio to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with SAS along with the correction and handling of errors as and when they pop-up. The program builds a solid foundation by covering the most popular and widely used data science technologies and its applications.

The topics that are covered in this tutorial are as follows:
Introduction to Analytics
Understanding Probability and Probability Distributions
Introduction to Sampling Theory and Estimation
Introduction to Segmentation Techniques: Factor Analysis in SAS
Introduction to Segmentation Techniques: Cluster Analysis in SAS
Correlation and Linear Regression in SAS
Introduction to categorical data analysis and Logistic Regression in SAS
Introduction to Time Series Analysis in SAS
Statistical Significance T Test Chi Square Tests and Analysis of Variance in SAS.

What will you learn
  • From this course students will have a clear understanding about the data science theory, techniques that are applied in analytics and also its application in SAS Studio platform


For better understanding knowledge on SAS Programming is recommended.


  • 10 Sections