*This course uses a commercial license from WPS. Anyone interested in full information, visit our disclaimer at the bottom. Thank you!*
This is the 1st course in my SAS series. Integration Assignments and a Case Study at the end of the course will test your understanding!
Welcome! Let this course help you obtain SAS certification!
The lessons in this course are meant to be taken in order, as each lesson builds up on knowledge, and may mention some important ideas/concepts. If you skip videos, it may appear that some aspects are not being explained. For example, if you skip the import.txt lecture because you only care about importing .csv files, you may miss explanations about certain lines of codes.
Nevertheless, you will learn a lot!
You will learn how to code in the SAS statistical programming language, to help you start a career/gain employment, or move up at your current company. If you’re studying SAS at a post-secondary institution, this course can not only help you with school projects but prepare you for a career after you complete your education.
SAS is the most used language commercially. SAS is a powerful statistical language and understanding data entry, data management, and data analysis is more important than ever before. Every company needs a data ninja! An expert in data management and data analysis!
Let me tell you what you will learn. In the import section, you’ll learn how to import different file types (.txt, .csv, .xlsx), In the working with data section you’ll learn how to merge two data sets, filter observations, clean and reduce your data, read dates, create an enumeration variable, and much more. There is a section on Informats/Formats and SAS Input Types (list input, column input, formatted input). In the arrays section, I go into some detail about arrays. As of now, I show you how to use Arrays to recode variables and create new ones. In the Functions section, I cover the Rand function, length/lengthn/lengthc functions, Trim function, compress function, input/put functions, catx function and more!
After this section, you will get an opportunity to test your skills by trying the Integration Assignments.
In the visualization section, you’ll learn how to make a scatter plot and bar charts. In the statistical (data) analysis section, I’ll cover independent t-tests, chi-square analysis, linear regression, and multiple regression. I also cover a few concepts from Macro Programming. The course ends with a Case Study that is taken from real life application, and let’s you see how some of the concepts you learned about are integrated together!
Learning the SAS programming language means being able to accomplish the same goal on ANY software the supports SAS language. I personally use WPS. You guys have your own options.
Finally, you have nothing to lose. No risk! You get a 30 day money back guarantee + the course for life (including any new content added after you enroll)!
Enroll now! Your future looks brighter with SAS.
We are not in any way affiliated or associated with SAS Institute. We do not provide, nor do we endorse, a download of SAS University edition for your learning purposes, nor do we personally use SAS software, or SAS logos. We do not link to SAS website, nor do we link to any SAS content, nor do we have screen shots of any of their assets, nor do we distribute it, nor do we suggest it’s ours.
We use a commercial license from WPS. The system I use, WPS, is in no way associated with SAS System. Furthermore, whenever you see the phrases “SAS”, “SAS Language” and “language of SAS” used in the course content this refers to the computer programming language. If you see phrases like “program”, “SAS program”, “SAS language program” used in my course, this is used to refer to programs written in the SAS language. These may also be referred to as “scripts”, “SAS scripts” or “SAS language scripts”.
Who this course is for:
- Individuals that are considering a career, or want to gain employment, with the biggest corporations/enterprises out there!
- Those new to SAS syntax and or students looking for a refresher. No prior programming knowledge is required.
- Those who want to know how to use the most important data analysis software/language out there!
- Internet connection
Last updated 12/2018
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