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

Eligiblity for Certification :

This course is highly recommended for Students, Working Professionals, Business Analysts, Consultants, Businessmen, Teachers, Lecturers, Professors and Data Science enthusiasts. The course is best for individuals who are in the field of Business Analytics or is eager to join the same Also individuals who has prior experience in SAS but eager to learn how to apply Data Analysis techniques using SAS