
SAS OnDemand was rolled out a while ago in replace of the outdated SAS University Edition. The cloud-based platform allows users to access anywhere from any device, and it's installation-free.
In this lecture, you will get an idea of what SAS is and what SAS does. SAS is dominant in many industries and will continue to grow. So you will get some good reasons to learn SAS. This will be mostly interesting to those of you who want to start a career in data analysis with SAS.
You may skip this lecture to proceed into the technical part.
This lecture is updated to delivery more contents and examples. I am trying to extend the previous topic - the workflow, by giving a case study as an example to fully demonstrate the idea that project planning by asking questions wisely is a must to a successful data analysis task. I make this topic very important and would highly recommend that you go through it first before getting into the technical parts.
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Thank you guys, I hope you've enjoyed this course! And don't forget to check out my personal website for discounted coupons for my other courses. Hope to see you soon!
Don't miss out this lecture. I will show you a trick to become a SAS graph master!
COURSE ABSTRACT
This course aims to provide a comprehensive introduction to the SAS analytic software for Windows. Through a mixture of lectures and in-class examples, quizzes, and take-home assignments, students will gain experience using the SAS system for data manipulation, management and analysis. You will also expect A LOT of extracurricular learning materials for self-pace learning, treat it as a BONUS! Emphasis will be placed on the skills and techniques necessary for efficient data manipulation, management and analysis. It is designed for students with little to no background with SAS, and an understanding of the basic statistical concepts. This will be an excellent choice for your first SAS introduction course for your data analysis career.
Plus, you will get a FREE course - SAS Data Issue Handling and Good Programming Practice (check out in the bonus lecture)!!!
WHAT DO I EXPECT?
A comprehensive course design from SAS basics to statistical analysis
Many in-class examples, exercises and take-home assignment
Master various techniques for data importing
Solid understanding of variable attributes, and learn various character/numeric functions
IF-THEN/ELSE statements
Do loop and counter variables
Master DATA step with Concatenation, Merge, etc.
Exposed to several useful PROC step (PRINT, SORT, TRANSPOSE, etc.).
Descriptive statistics procedures (MEANS, UNIVARIATE, FREQ)
Hypothesis testing (UNIVARIATE, TTEST, ANOVA)
Correlations (CORR)
Regression (REG)
PREREQUISITE COURSES AND KNOWLEDGE:
No SAS background required;
Basic knowledge of statistics is preferred.