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SAS Programming for Data Science: Statistical Modelling

Beginners in SAS: DO Loops, IF-THEN/ELSE, IF-THEN/DO , Multicollinearity, Linearity, Normality Tests, Outlier detection

** New to SAS**

What you’ll learn

Course Content

Requirements

** New to SAS**

Do you want to learn how to use SAS programming from the beginners to validating machine learning algorithms assumptions ?

Are you starting your new SAS journey?

Are you looking to know how to well interpret sas output?

If you are that person , then you are about to enroll in the best course to guide you!

Your Instructor has more than 3 years of SAS experience.

 

Why learn SAS?

 

SAS jobs !

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.

 

SAS is fun !

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.

 

Data Analysis

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 :

Why wait when you can learn how to well write sas programs from scratch!

Don’t miss this opportunity of continuous learning.

Click the “Buy Now” to start your sas journey today.