Updated on Jun, 2025
Language - English
Good. So far it seems doable.
Complete SAS Programming Course: Statistical Modelling
Learn DO Loops, IF-THEN/ELSE, IF-THEN/DO, Multicollinearity, Linearity, Normality Tests, Outlier detection
Office Productivity,Other Office Productivity,SAS
Lectures -48
Resources -4
Duration -2 hours
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Course Description
New to SAS?
Do you want to learn how to use SAS programming from beginners to validating machine learning algorithm 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 an 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 generates graphs and reports.
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.
Why wait when you can learn how to well write SAS programs from scratch?
Don't miss this opportunity for continuous learning. Enroll to start your SAS journey today.
Goals
Use a numbered range list to name SAS variables
Understand SAS libraries & how to access data in SAS using a library
Import unstructured data into SAS
Use SAS operators
Use SAS IF statements
IF - THEN/ELSE statements
IF-THEN/DO statements
Understand DO Loops
Use DO WHEN & DO UNTIL statements
Use the missing() function to deal with missing values
Use noduprecs & SORT procedure to remove duplicates
Write a neat sas syntax and be able to interpret the SAS output
How to detect Multicollinearity or Collinearity Diagnostics
Use Variance Inflation Factor (VIF) to detect multicollinearity
Use Condition Index (Condition numbers) to detect Multicollinearity
Perform and Interpret Shapiro Wikis Test Normality Test
Validate Linearity Assumption
Carry out Pearson Correlation Test and Interpret the results using p - values
Carry out RESIDUAL DIAGNOSTICS test and Interpret the results
Detect Outliers & Influential Observations
Interpret DFFITS & DFBETAS plots
Prerequisites
- No prior SAS knowledge everything is covered.
- Internet connection
- A SAS profile.
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Introduction
1 Lectures
-
Introduction to the Course
02:19
02:19
SAS Studio on SAS onDemand for Academics
1 Lectures
Understanding SAS Syntax
2 Lectures
SAS Variables
5 Lectures
SAS operators
4 Lectures
ACCESSING DATA IN SAS
7 Lectures
CONTROL OUTPUT OF VARIABLES
4 Lectures
DATA Manipulation
12 Lectures
Validating Model Assumptions
12 Lectures
Instructor Details
Nkosingimele Ngcobo
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