This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.
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来自GETTING STARTED WITH SAS PROGRAMMING的热门评论
This course offers a solid foundation to anyone who is interested in beginning to use SAS. I have found the demos, activites and practices to be fairly easy yet still required me to use my brain.
Although it is a steep learning curve, the course was very well organized and extremely helpful. The practice portion was crucial to understanding and learning the basics. Thank you!
A very basic and professional course for SAS beginners, paving an easy path to more advanced SAS programming. Lots of detailed instructions and elaborate exercises.
This is an excellent course to start the SAS with userfriendly technics, teaching style, course material, examples, all were marvelous. Thank you Team Coursera !!
I like the learning structure with demo and exercises. It takes only few days to finish, friendly to beginner and you will have great basic concepts about sas.
Very informative comprehensive course to get started on learning SAS. I loved the interactive learning and the pace of the course. Thanks very much :)
Well prepared and simple to understand. Thanks for all the practice exercises. It really helped reinforce understanding of the language.
Topics in the course was explained in a step by step manner with lots of demos that helped me to understand those concepts. Thank you!
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
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