Applied Statistical Modelling with SAS

What you’ll learn
How to program in SAS
Use SAS for Machine Learning Algorithms
Use SAS for Statistical modelling
How to interpret the odds ratios
Understand regression analysis
Make data driven decision
Dimension Reduction Techniques
Perform Goodness of fit Tests
Write a neat SAS code

Requirements
No SAS experience needed. You will learn everything

Description
*Looking for a course that well explain Statistical Models & ML 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.

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

Use SAS libraries to access data

Manipulate data using sas if statements

Use sas loops

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.

Who this course is for
Everyone willing to learn SAS
Everyone willing to learn statistical modelling using SAS