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


Requirements

For better understanding knowledge on SAS Programming is recommended.

Section

  • 10 Sections

Reviews