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Hands on Linear Regression, Logistic Regression, Cluster Analysis, Principal Component Analysis, Factor Analysis, Backward, Forward & Stepwise Model Selections
Updated on Sep, 2026
Office Productivity, Other Office Productivity, SAS
Duration - 3.5 hours
Training 5 or more people ?
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*Looking for a course that well explain Statistical Models & Data Science algorithms using SAS*
Do you want to learn how to use SAS for regression analysis?
Are you starting your SAS journey?
Are you looking for a course that teaches you how to well interpret statistics p-values, hypothesis tests as well as Applied Statistical Modelling ?
If you are that person that you are about to enroll in the best course to guide you!
Your Instructor has more than 3 years of SAS experience , deep knowledge of Statistical modelling, Data Analysis, as well as Data Science . You will enjoy this course. It includes lot of practical knowledge on how to perform statistical tests.
Try to search for “SAS Jobs” online. Your search is sure to turn up many current job listings that require a variety of SAS expertise. Since, SAS emerges as a key research data analysis tool, it is in demand in the market. Every company is looking for SAS resources.
It is fun learning SAS. It provides easy way to access multiple applications. It relies on user-written scripts or “programs” that are processed when requested to know what to do. Because it is a script-based application, the key to being successful using SAS is learning the rules and tricks of writing scripts. It works with large data and generate graphs and report.
SAS is versatile and powerful enough for data analysis. SAS is flexible, with a variety of input and output formats. It has numerous procedures for descriptive, inferential, and forecasting types of statistical analyses. Because the SAS System is an integrated system with similar architecture shared by modules or products, once you master one module, you can easily transfer the knowledge to other modules.
By the end of this course you will be able to:
Use SAS libraries to access data
Manipulate data using sas if statements
Understand the difference between Statistical modelling and Machine Learning
Perform Regression Analysis using PROC REG & PROC LOGISTIC
Select model with Backward, Forward & Stepwise method selection
Perform Cluster Analysis
Understand Principal Component Analysis and when to use it
Understand Factor Analysis and when to use it
The course will help you implement statistical analysis and interpret the results .
After the end of the course you will be able to make data driven decisions.
Don't miss this opportunity of continuous learning.
Check out the detailed breakdown of what’s inside the course
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