Development Online Course by Udemy, On Sale Here
Learn the basics of R programming
An excellent training about Programming Languages
Cradle to Grave R – Absolute Beginners Guide
What makes learning R, a quirky language worthwhile? Let’s start with a list: Its free, open-source, and available on every platform. If you do your analysis in R, anyone can easily replicate it.A diverse and welcoming communityA massive set of packages. Whatever youre trying to do, chances are that someone has already tried to do it and you can learn from their efforts. RMarkdown makes it easy to turn your results into HTML files, PDFs, Word documents, PowerPoint presentations, dashboards and more. R does not have to be hard to learn. In fact, it should be easy. It’s a high-level programming language that enables a casual user to do powerful things with little effort. In this course, Ishow you how to get started on that journey. This course is an iterative, step-by-step guide. In most videos, Iam a talking head (the little head on the bottom right of the screen). Ibelieve interacting and talking through the problems helps you learn more in the long term. You learn the solution-oriented process as we go. The videos are broken up into bite-size chunks. This way, you can take a concept and run with it before learning something entirely new. Iexpect you to follow along, typing the code. It’s much easier to cut/paste code, but when you are forced to use muscle memory, you will appreciate it in the long run more. This is not an in-depth programming course or a statistics course. Instead, this course is meant for the casual business user or analyst to get started on a much larger journey in R. You must learn these concepts before learning the statistics, big data concepts, and machine learning algorithms. This course is a foundation for all of that. That being said, you can apply what you learn from this course to your daily business life immediately. In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course! See you in the class! Mark Gingrass
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