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This CPE package includes everything you need. You will receive all the video lessons, printable instruction manuals, a practice exam with answers and evaluative feedback to help you learn, your final exam submission and certificate of completion.
Are you tired of reading books on how to program using SAS? Do you find it boring? Is it hard to sift through and find what is important? If you are in this situation, my online video course is for you!
If you are looking for sas online training, and want to learnÂ SAS Base programming, you are at the right place.
You willÂ Learn SAS through example!Â A Case StudyÂ at the end of the courseÂ gives you an opportunity to seeÂ a real life example,Â and observeÂ how some of the concepts you learned about areÂ integrated together!Â
Learn how to code in the SAS statistical programming languageÂ so you can start a career or move up at your currentÂ company.Â Also, if you'reÂ studying SAS at a post-secondary institution, our course can help you with school projects and prepare you for a career after you complete your education.
Widely UsedSAS programming is theÂ most usedÂ languageÂ commercially.Â SAS is aÂ powerfulÂ statisticalÂ languageÂ and understandingÂ data entry, dataÂ management, andÂ dataÂ analysisÂ is more important than ever before.Â Every company needs a data ninja! An expert inÂ data management and data analysis!
Outline of CurriculumSo, in the importÂ section,Â you'll learn how toÂ import different file types (.txt, .csv, .xlsx), In theÂ working with data sectionÂ you'll learn how toÂ merge two data sets, filter observations, clean and reduce your data, read dates, create an enumeration variable,Â and more. There is a section on Informats/Formats and SAS Input Types (list input, column input, formatted input).Â In theÂ arrays section, we go into some detail about arrays. As of now, I show you how to use Arrays to recode variables and create new ones.Â In theÂ Functions section, I cover the RandÂ function, length/lengthn/lengthc functions, Trim function, compress function, input/put functions, catx function and more!Â Â In theÂ visualization section, you'll learn how to make a scatter plot and bar charts. InÂ theÂ statistical (data) analysis section, I'll cover independent t-tests,Â chi-square analysis,Â linear regression, and multiple regression.Â I also cover a few concepts fromÂ Macro Programming. Finally, the course ends with aÂ Case StudyÂ that is taken fromÂ real life application, and let's you see how some of theÂ concepts you learned about are integrated together!
In March 2016, the Google DeepMind program called AlphaGo, beat eighteen-time world champion Lee Sedol in a five-game Go match. Reinforcement learning was integral to AlphaGo's win. In this course, you'll delve into the fascinating world of reinforcement learning to see how this machine learning approach actually works. You'll learn what reinforcement learning is, how it's used to optimize decision making over time, and how it solves problems in games, advertising, and stock trading. The course covers theory and practice, and provides a detailed example, where you'll use reinforcement learning to create an optimized S&P 500 stock trading strategy. This is an intermediate level course requiring Python knowledge and previous experience in machine learning with both the supervised learning and unsupervised learning methods. Before starting the course, learners should have Python 3.5 (or higher) installed, a text editor, and access to Git.
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